ABOUT US

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook.

We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

YOUR RESPONSIBILITIES

• Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
• Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
• Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
• Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
• Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
• Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
• Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
• Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
• Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

YOUR SKILLS AND EXPERIENCE

• 3+ years of professional experience as a data analyst, analytics engineer, or similar role
• Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
• Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
• Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
• Version control with Git/GitHub as part of your normal workflow
• Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
• A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy
• History of building collaborative, trusting relationships with non-technical stakeholders
• Comfort presenting findings to leadership verbally, in writing, and visually

PREFERRED ADDITIONAL SKILLS AND EXPERIENCE

Though not required, we would consider the following as an added plus:

• Working knowledge of Python and/or R for analysis
• Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
• Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
• Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
• Experience working in a small or solo data team where you owned the work end-to-end

THE FINE PRINT

• Must be able to work in a stationary position 50% - 75% of the work day
• Medical, Dental Vision plans
• Company Paid Long Term Disability
• Employee Assistance Programs
• 401k with Match
• Generous paid time off policies
• Gear test, perks and more

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

Who We Are

At Murmuration, we believe that America’s promise is shaped and reshaped by the best ideas and ideals of its communities, and the dreams of the people who believe in a better life for themselves, their families, and each other.

We help organizations build power in their communities in four key ways: we organize a network of values-aligned partners; we provide deep, data-driven insights into people, places, and perspectives; we develop tools that make organizing and engagement easy and more effective; and we offer services that strengthen our partners’ capacity to lead change in their communities.

We envision an America where every community has what it needs to help people lead healthy, free, and dignified lives. We work to redesign the systems and structures we all depend on — how we learn, live, govern, and solve problems — so that they are just, equitable, resilient, and rooted in shared responsibility. By strengthening the ties that hold communities together, we aim for civic life defined by collective action and care, with effective leadership that truly represents everyone.

We are a collaborative, curious, and creative team of organizers, scientists, teachers, technologists, campaign veterans, and more who share the unwavering belief that we can use our gifts in service of transforming America — together. We’ve built our team guided by the belief that the whole is greater than the sum of its parts. And so we support each other relentlessly — rallying together to face challenges the same way we celebrate each other’s wins.

About the Position

As a Senior Data Scientist at Murmuration, you’ll practice “full-stack” data science, shepherding problems from ideation to implementation. The Data Science team works on diverse datasets with hundreds of millions of records to analyze data, build pipelines, and derive insights to power Murmuration’s data and tools. A core part of this work is our predictive stack: we use the voter file and other supplemental datasets to build scores that predict individual behaviors and beliefs, such as likelihood to turn out to vote, support an issue, or volunteer on a campaign. These scores help campaigns and organizers allocate their resources more effectively, reaching the right people at the right time. In this role, you will help drive this work forward, developing innovative methodologies with a focus on campaign data models and entity resolution. As a senior member of the team, you’ll mentor developing data scientists and junior analysts and collaborate closely with the engineering, product, and research teams.

Job Level P4

What You’ll Do

• Lead and execute data science projects, including predictive modeling, algorithm design, and data pipelines;

• Develop innovative, industry-leading campaign data science models, specifically partisanship and turnout models;

• Independently (and often collaboratively) explore data sets for insights and understanding what can help drive product development and feature prioritization;

• Transform data into actionable and compelling insights through analysis and visualization, and then effectively communicate these data-driven stories to internal and external stakeholders through memos and presentations;

• Collaborate with the Engineering Team to take data science products and concepts into production;

• Provide guidance and mentoring to level-up junior data scientists in both formal and informal learning sessions; and

• Apply emerging AI technologies to R&D challenges; you’ll prototype novel approaches, evaluate feasibility, and bridge the gap between cutting-edge capabilities and practical usability.

• 6+ years of work experience as a Data Scientist or equivalent role producing models and analytics for business applications;

• Deep understanding of advanced data science techniques, machine learning algorithms, and optimization methods;

• Experience building and deploying machine learning models;

• Proficiency in data engineering and data pipelines;

• Skill in using advanced data visualization tools and techniques to effectively communicate insights and tell compelling stories with data;

• Mastery of programming languages (Python and SQL), version control (Git),  and ability to learn and apply new data science tools and techniques efficiently;

• Exceptional problem-solving abilities, strong leadership skills, and ability to communicate insights strategically to influence team direction;

• Ability to mentor and guide junior team members in their technical growth and development; and

• Capacity to work collaboratively with cross-functional teams and stakeholders.

Nice to Haves

• Domain expertise in organizing and advocacy;
• Experience working with voter file data and in campaign data science;
• Familiarity with data engineering tools such as dbt and Dagster;
• Experience with polling methodologies, survey analysis, and multilevel regression and poststratification (MRP) modeling; and/or
• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Physics, Economics, Computer Engineering, or a related field.

Talented Data Scientists come from all walks of life and career. If you are passionate about civic engagement and technology, please apply, even if you do not check every box!

Location and Compensation

The Senior Data Scientist is a full-time, salaried position with a comprehensive benefits package (detail below), open to candidates anywhere in the United States.

The starting salary for this position is $183,013. We set compensation using market data and apply it consistently across the organization to ensure fairness and transparency for everyone in similar roles.

Our Culture of Care

We work hard to create a culture of care to ensure that our staff are best equipped to lead happy, healthy, and balanced lives. To that end, we offer a comprehensive benefits package which includes:

• Health, vision, and dental insurance with 100% of premiums covered for you and qualifying family members;
• Retirement benefits with a 5% employer match;
• A flexible unlimited PTO plan;
• Generous paid parental leave;
• Pre-tax commuter benefits;
• A company laptop;
• A flexible remote work environment;
• A home office setup stipend for all new employees;
• Monthly reimbursement for remote work expenses;
• A yearly professional development fund;
• Mental health and wellness benefits through Calm and Better Help;
• Yearly in-person staff retreats; and
• A welcoming culture that celebrates diversity, equity, inclusion, and belonging.

At Murmuration, we believe a vibrant, representative democracy depends on the inclusion of diverse voices, lived experiences, and perspectives. The best ideas don’t come from a single person or ideology — they emerge at the intersection of different backgrounds, identities, and viewpoints. We are proud of our commitment to building an organization and culture shaped by respect, empathy, and collaboration, where our team’s diversity fuels innovation, civic engagement, and meaningful change. We welcome new colleagues who will help us nurture this collective effort. Join us.

An Equal-Opportunity Employer with a Commitment to Diversity

Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job.

Note: Murmuration is two organizations working together to pursue our mission of amplifying the power of civic engagement: Murmuration Research Institute, a 501©(3) that conducts research to identify, design, and create the data, tools, and insights that build healthier and more equitable communities; and Murmuration, Inc., a 501©(4) that supports organizations working across the country on the nation’s most challenging issues with access to data, tools, and research that build healthier and more equitable communities.

¡Trabaja en DaCodes!

Somos una firma de expertos en software y transformación digital de alto impacto. Durante 10 años hemos creado soluciones enfocadas en la tecnología e innovación gracias a nuestro equipo de casi 300 talentosos #DaCoders, incluyendo desarrolladores, arquitectos, diseñadores UX/UI, PMs, QA testers y más. Nuestro equipo colabora en proyectos con clientes en LATAM y Estados Unidos, logrando resultados sobresalientes.

En DaCodes, tendrás la oportunidad de impulsar tu desarrollo profesional, trabajar en diversos proyectos dentro de distintas industrias, y contribuir al diseño, implementación y optimización de infraestructuras en la nube.

Nuestros DaCoders tienen un gran impacto en el éxito de nuestro negocio y el de nuestros clientes.

Serás el experto que participará en nuestros proyectos y tendrás acceso a startups disruptivas y marcas globales.

¿Te interesa?

Buscamos un Business Analyst con experiencia en migración de datos, integraciones de sistemas y documentación de transformaciones entre plataformas. La persona se integrará a un pod de desarrollo asignado a un cliente internacional del sector de Property Management basado en el Reino Unido.

El objetivo principal del rol es mapear y documentar de forma clara las transformaciones necesarias para adaptar la representación de entidades de un sistema de trust accounting a la representación equivalente en la plataforma del cliente. Esto requiere entender tanto la lógica de negocio como la arquitectura técnica de las integraciones existentes.

Este no es un rol de gestión de tickets ni de seguimiento de tareas. Buscamos a alguien con perfil analítico, proactivo y autónomo, que pueda sumergirse en la complejidad de los datos, identificar riesgos de entrega, y producir documentación que los equipos de desarrollo puedan ejecutar con confianza.

Responsabilidades Principales

• Analizar sistemas fuente y destino para entender modelos de datos, reglas de negocio y flujos de transformación entre plataformas.
• Documentar de forma estructurada los mapeos de entidades, campos, reglas de transformación y criterios de validación requeridos para las integraciones.
• Participar activamente en llamadas con el cliente (en inglés), levantar requerimientos, identificar ambigüedades y proponer soluciones.
• Comprender las integraciones existentes de la plataforma del cliente, incluyendo su lógica de negocio y aspecto técnico.
• Escribir user stories, criterios de aceptación y especificaciones técnicas claras que el equipo de desarrollo pueda implementar sin fricción.
• Identificar proactivamente edge cases, inconsistencias en datos y riesgos de entrega antes de que se conviertan en bloqueos.
• Colaborar estrechamente con desarrolladores y stakeholders del cliente para asegurar claridad desde el inicio y minimizar retrabajo.
• Producir documentación trazable que conecte requerimientos, diseño y validación.
• Liderar un equipo de trabajo de 3 desarrolladores.

Experiencia

• 3+ años como Business Analyst, Technical Business Analyst o roles similares en proyectos de integración de sistemas, migración de datos o transformación de plataformas.
• Experiencia documentando mapeos de datos entre sistemas con diferentes modelos de entidades.
• Historial comprobable de trabajo con equipos de desarrollo, traduciendo requerimientos de negocio en especificaciones técnicas ejecutables.
• Experiencia participando en llamadas con clientes de habla inglesa y trabajando en equipos distribuidos.

Habilidades Técnicas

• Conocimiento de SQL para análisis de datos (Nice to have), validación de transformaciones e identificación de edge cases.
• Familiaridad con APIs REST y/o integraciones middleware.
• Capacidad para leer y entender documentación técnica de APIs, esquemas de base de datos y flujos de integración.
• Experiencia con herramientas de gestión de proyectos (JIRA, Linear, o similares).
• Deseable: experiencia con plataformas de contabilidad, ERP, CRM o property management.

Habilidades Blandas

• Inglés fluido (nivel C1 o superior), tanto oral como escrito. Se evaluará en el proceso de selección.
• Perfil proactivo y autónomo: capaz de identificar problemas y proponer soluciones sin esperar instrucciones explícitas.
• Atención al detalle excepcional, particularmente en la documentación de reglas de transformación y mapeos de datos.
• Comunicación clara y estructurada, tanto en documentación escrita como en conversaciones con stakeholders técnicos y de negocio.
• Capacidad para operar en entornos donde los requerimientos son incompletos, las estructuras de datos son complejas y los riesgos de entrega dependen de la precisión del análisis.

🚀 Work with global brands and disruptive startups.

🏡 Remote work / Home office.

📍 If a hybrid or on-site model is required, you will be informed from the first session.

⏳ Work schedule aligned with the assigned project/team.

📅 Monday to Friday schedule.

⚖️ Legal benefits (Applicable for Mexico).

🎉 Day off on your birthday.

🏥 Private health insurance (Applicable for Mexico).

🛡️ Life insurance (Applicable for Mexico).

🌎 Multicultural teams.

🎓 Access to courses and certifications.

📢 Meetups with industry experts and top universities.

📡 Virtual networking events and interest groups.

📢 English classes.

🏆 Opportunities within our different business lines.

🏅 Proudly certified as a Great Place to Work.

Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we expand across Medicare Advantage and other value-based care programs, we need analytical talent that can translate complex clinical and financial data into narratives that drive action, for both our internal teams and our payer and provider customers.

You will be part of the analytical engine behind Counterpart Health’s value-based care performance insights. This role sits at the intersection of risk adjustment, quality measurement, utilization management, and cost analytics, and you will be expected to own the metrics that matter most to our payer and provider partners. Beyond the numbers, you are a storyteller: you turn dense claims and clinical data into clear, compelling narratives that help customers understand performance, identify opportunities, and take action. You will work closely with Customer Success, Clinical, and Product teams to ensure our analytics are accurate, trusted, and decision-ready.

As a Data Analyst, you will:

• Build and maintain core Value-Based Care (VBC) performance metrics across risk, quality, utilization, and cost domains, including HCC capture rates, RAF scores, PMPM trends, and inpatient/ED utilization rates.
• Develop customer-facing analytics, reports, and dashboards that surface actionable performance insights for payer and provider partners in a clear, narrative-driven format.
• Analyze Medicare Advantage performance data, including risk adjustment, quality bonus payments, and benchmark performance, to identify gaps, trends, and opportunities at the patient, provider, and market level.
• Translate complex data findings into executive-ready narratives: written summaries, slide-ready visuals, and structured QBR materials that tell a coherent story about performance and next steps.
• Conduct deep-dive utilization and cost analyses, including high-cost claimant reviews, avoidable utilization patterns, and specialty/pharmacy spend trends, to identify levers for improvement.
• Partner with Customer Success and Provider Operations teams to prepare and deliver performance reviews (QBRs, monthly reporting packages) that communicate value and surface priority action areas for each customer.
• Collaborate with Data Engineering to validate claims and clinical data pipelines, flag anomalies, and ensure metric consistency across customer populations.
• Contribute to the development of scalable analytics infrastructure: reusable SQL libraries, metric definitions, and documentation that enable the team to move faster.

You should get in touch if you have:

• 4+ years of hands-on healthcare data analytics experience, with direct exposure to payer or provider customers in a value-based care context.
• Deep familiarity with VBC metrics: risk adjustment (HCC coding, RAF scores), utilization (IP admissions, ED visits, readmissions), and cost (PMPM, total cost of care, benchmark vs. actual).
• Strong SQL skills, able to write complex queries across claims, eligibility, and clinical datasets in cloud-based warehouses (BigQuery, Snowflake, or similar).
• Exceptional data storytelling ability: you can translate analytical findings into clear narratives and visuals that resonate with both clinical and non-technical audiences.
• Experience building customer-facing reports and dashboards; comfortable presenting findings to external stakeholders (health plans, provider groups, ACOs).

Preferred Qualifications:

• Medicare Advantage experience, including familiarity with CMS risk adjustment models (CMS-HCC v24/v28), Star Ratings methodology, and MA quality bonus payment structures.
• Familiarity with clinical terminologies: ICD-10, CPT/HCPCS, NDC, SNOMED, LOINC.
• Experience using Python or R for data manipulation, cohort analysis, or statistical modeling.
• Background working with EHR or clinical data alongside claims (e.g., for care gap closure, chronic condition identification, or attribution logic).
• Prior experience in a health plan, risk-bearing provider group, ACO, or health tech company supporting VBC programs.

Benefits Overview:

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians’ workflows to help support the earlier diagnosis and management of chronic conditions.

Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.

With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.

Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people’s lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone’s responsibility.

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

A reasonable estimate of the base salary range for this role is:

$96,000—$125,000 USD

SUMMARY: The Data Analyst is responsible for supporting business intelligence and analytics delivery by partnering with BI Developers, BI Architects, Data Architects, Data Engineers, and business stakeholders to translate business needs into clear, development-ready requirements.

This role supports the delivery of reporting and analytics solutions by understanding where data resides, how it moves through ETL/ELT processes, how it is modeled for reporting, and how business requirements should be documented for technical delivery. The Data Analyst serves as a liaison between business users and technical teams, helping define report requirements, clarify data logic, document source-to-target mappings, create development-ready tickets, support testing, and ensure BI solutions align with enterprise data standards and architecture patterns.

DUTIES AND RESPONSIBILITIES:

· Partner with business stakeholders to gather, clarify, and document reporting and analytics requirements.

· Work closely with BI Developers, BI Architects, Data Architects, and Data Engineers to translate business needs into technical specifications.

· Understand where data resides across source systems, data warehouses, semantic layers, and BI tools.

· Analyze ETL/ELT processes, data flows, transformations, and dependencies to support BI solution design.

· Document source-to-target mappings, business rules, metric definitions, filter logic, report logic, and reporting assumptions.

· Create clear, development-ready user stories, tickets, acceptance criteria, and supporting documentation for technical teams.

· Support backlog refinement, sprint planning, testing, and release coordination for BI and analytics work.

· Validate reporting outputs against source data, business rules, requirements, and expected results.

· Investigate data discrepancies, reporting defects, and gaps between business expectations and technical implementation.

· Coordinate across BI, data architecture, data engineering, and business teams to resolve issues and drive delivery.

· Support standardization of BI requirements, documentation practices, reusable reporting patterns, and intake processes.

· Assist with user acceptance testing and production validation for new or enhanced dashboards, reports, datasets, and semantic models.

· Communicate technical concepts clearly to non-technical stakeholders and communicate business context clearly to technical teams.

· Identify opportunities to improve reporting processes, data usability, development handoffs, and operational efficiency.

SUPERVISORY RESPONSIBILITIES:

· This job has no supervisory responsibilities.

COMPETENCIES:

· Diversity - Demonstrates knowledge of EEO policy; Shows respect and sensitivity for cultural differences; Promotes a harassment-free environment; Supports a diverse and inclusive workforce.

· Ethics - Treats people with respect; Keeps commitments; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values.

· Adaptability - Adapts to changes in the work environment; Manages competing demands; Changes approach or method to best fit the situation; Able to deal with frequent change, delays, or unexpected events.

· Analytical - Synthesizes complex or diverse information; Collects and researches data; Identifies patterns, gaps, and dependencies; Uses data and business context to support recommendations.

· Business Acumen - Understands business objectives, reporting needs, operational workflows, and how data supports decision-making.

· Communication - Speaks clearly and persuasively; Listens and gets clarification; Translates business needs for technical teams and technical concepts for business stakeholders.

· Documentation - Writes clearly and informatively; Documents requirements, decisions, data mappings, business rules, assumptions, and acceptance criteria in a clear and usable manner.

· Initiative - Undertakes self-development activities; Seeks increased responsibilities; Takes independent action; Identifies opportunities to improve processes and outcomes.

· Interpersonal Skills - Focuses on solving conflict, not blaming; Maintains confidentiality; Listens to others without interrupting; Remains open to others’ ideas and approaches.

· Organizational Support - Follows policies and procedures; Completes administrative tasks correctly and on time; Supports organization’s goals and values.

· Planning/Organizing - Prioritizes and plans work activities; Uses time efficiently; Develops realistic action plans; Coordinates work across multiple stakeholders and delivery timelines.

· Problem Solving - Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions; Uses reason and data to evaluate options.

· Project Coordination - Coordinates work across teams; Communicates changes and progress; Helps manage dependencies, risks, timelines, and handoffs.

· Quality - Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Validates work against requirements and expected results.

· Teamwork - Balances team and individual responsibilities; Welcomes feedback; Contributes to building a positive team spirit; Supports team goals and cross-functional collaboration.

· Technical Skills - Understands data concepts, BI tools, databases, and ETL/ELT processes; Pursues training and development opportunities; Shares expertise with others.

· Written Communication - Writes clearly and informatively; Edits work for spelling and grammar; Presents technical and business information in a way that is easy to understand.

PHYSICAL DEMANDS AND WORK ENVIRONMENT:

· Continually required to sit.

· Continually required to utilize hand and finger dexterity.

· Occasionally required to stand.

· Occasionally required to walk.

· Continually required to talk or hear.

· Specific vision abilities required by this job include close vision, depth perception, and ability to adjust focus.

· Work is performed in a professional office, remote, or hybrid work environment with standard office lighting and noise levels.

· Employee may be required to use a computer, telephone, video conferencing tools, and standard office equipment for extended periods of time.

· Tight deadlines may need to be met while coordinating across multiple stakeholders and priorities.

· Occasional evening and weekend work may be required to support releases, urgent reporting needs, or production validation.

· Employee may need to travel within the U.S. on an occasional basis.

· Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The above is intended to describe the general content and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

QUALIFICATIONS:

· bachelor’s degree in information systems, Business Analytics, Computer Science, Data Analytics, Business Administration, or related field; equivalent experience may be considered.

· 3+ years of experience as a Data Analyst, BI Analyst, Business Analyst, Technical Business Analyst, Systems Analyst, or similar role supporting data, reporting, or analytics initiatives.

· Strong understanding of BI delivery processes, reporting requirements, data models, and analytics solution design.

· Experience working with BI tools such as Power BI, ThoughtSpot, Tableau, Looker, or similar platforms.

· Experience working with data warehouses, relational databases, or cloud data platforms such as Snowflake, SQL Server, Azure, or similar technologies.

· Ability to read and write SQL for data investigation, validation, requirements analysis, and troubleshooting.

· Understanding of ETL/ELT concepts, data pipelines, source-to-target mapping, transformation logic, and data dependencies.

· Experience creating user stories, acceptance criteria, process flows, data mappings, technical specifications, and supporting documentation.

· Strong communication skills with the ability to work effectively between business stakeholders and technical teams.

· Strong analytical, problem-solving, and organizational skills with attention to detail and accuracy.

· Experience with Agile delivery tools such as Jira, Azure DevOps, or similar platforms preferred.

· Preferred domain experience includes healthcare, pharmacy, patient services, specialty pharmacy, hub services, payer/insurance, life sciences, pharmaceutical, or other regulated operational reporting environments.

• Supportive, progressive, fast-paced environment
• Competitive pay structure
• Matching 401(k) with immediate vesting
• Medical, dental, vision, life, & short-term disability insurance

AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws.

All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check.

ABOUT US

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook.

We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

YOUR RESPONSIBILITIES

• Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
• Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
• Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
• Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
• Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
• Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
• Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
• Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
• Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

YOUR SKILLS AND EXPERIENCE

• 3+ years of professional experience as a data analyst, analytics engineer, or similar role
• Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
• Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
• Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
• Version control with Git/GitHub as part of your normal workflow
• Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
• A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy
• History of building collaborative, trusting relationships with non-technical stakeholders
• Comfort presenting findings to leadership verbally, in writing, and visually

PREFERRED ADDITIONAL SKILLS AND EXPERIENCE

Though not required, we would consider the following as an added plus:

• Working knowledge of Python and/or R for analysis
• Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
• Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
• Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
• Experience working in a small or solo data team where you owned the work end-to-end

THE FINE PRINT

• Must be able to work in a stationary position 50% - 75% of the work day
• Medical, Dental Vision plans
• Company Paid Long Term Disability
• Employee Assistance Programs
• 401k with Match
• Generous paid time off policies
• Gear test, perks and more

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

Who We Are

At Murmuration, we believe that America’s promise is shaped and reshaped by the best ideas and ideals of its communities, and the dreams of the people who believe in a better life for themselves, their families, and each other.

We help organizations build power in their communities in four key ways: we organize a network of values-aligned partners; we provide deep, data-driven insights into people, places, and perspectives; we develop tools that make organizing and engagement easy and more effective; and we offer services that strengthen our partners’ capacity to lead change in their communities.

We envision an America where every community has what it needs to help people lead healthy, free, and dignified lives. We work to redesign the systems and structures we all depend on — how we learn, live, govern, and solve problems — so that they are just, equitable, resilient, and rooted in shared responsibility. By strengthening the ties that hold communities together, we aim for civic life defined by collective action and care, with effective leadership that truly represents everyone.

We are a collaborative, curious, and creative team of organizers, scientists, teachers, technologists, campaign veterans, and more who share the unwavering belief that we can use our gifts in service of transforming America — together. We’ve built our team guided by the belief that the whole is greater than the sum of its parts. And so we support each other relentlessly — rallying together to face challenges the same way we celebrate each other’s wins.

About the Position

As a Senior Data Scientist at Murmuration, you’ll practice “full-stack” data science, shepherding problems from ideation to implementation. The Data Science team works on diverse datasets with hundreds of millions of records to analyze data, build pipelines, and derive insights to power Murmuration’s data and tools. A core part of this work is our predictive stack: we use the voter file and other supplemental datasets to build scores that predict individual behaviors and beliefs, such as likelihood to turn out to vote, support an issue, or volunteer on a campaign. These scores help campaigns and organizers allocate their resources more effectively, reaching the right people at the right time. In this role, you will help drive this work forward, developing innovative methodologies with a focus on campaign data models and entity resolution. As a senior member of the team, you’ll mentor developing data scientists and junior analysts and collaborate closely with the engineering, product, and research teams.

Job Level P4

What You’ll Do

• Lead and execute data science projects, including predictive modeling, algorithm design, and data pipelines;

• Develop innovative, industry-leading campaign data science models, specifically partisanship and turnout models;

• Independently (and often collaboratively) explore data sets for insights and understanding what can help drive product development and feature prioritization;

• Transform data into actionable and compelling insights through analysis and visualization, and then effectively communicate these data-driven stories to internal and external stakeholders through memos and presentations;

• Collaborate with the Engineering Team to take data science products and concepts into production;

• Provide guidance and mentoring to level-up junior data scientists in both formal and informal learning sessions; and

• Apply emerging AI technologies to R&D challenges; you’ll prototype novel approaches, evaluate feasibility, and bridge the gap between cutting-edge capabilities and practical usability.

• 6+ years of work experience as a Data Scientist or equivalent role producing models and analytics for business applications;

• Deep understanding of advanced data science techniques, machine learning algorithms, and optimization methods;

• Experience building and deploying machine learning models;

• Proficiency in data engineering and data pipelines;

• Skill in using advanced data visualization tools and techniques to effectively communicate insights and tell compelling stories with data;

• Mastery of programming languages (Python and SQL), version control (Git),  and ability to learn and apply new data science tools and techniques efficiently;

• Exceptional problem-solving abilities, strong leadership skills, and ability to communicate insights strategically to influence team direction;

• Ability to mentor and guide junior team members in their technical growth and development; and

• Capacity to work collaboratively with cross-functional teams and stakeholders.

Nice to Haves

• Domain expertise in organizing and advocacy;
• Experience working with voter file data and in campaign data science;
• Familiarity with data engineering tools such as dbt and Dagster;
• Experience with polling methodologies, survey analysis, and multilevel regression and poststratification (MRP) modeling; and/or
• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Physics, Economics, Computer Engineering, or a related field.

Talented Data Scientists come from all walks of life and career. If you are passionate about civic engagement and technology, please apply, even if you do not check every box!

Location and Compensation

The Senior Data Scientist is a full-time, salaried position with a comprehensive benefits package (detail below), open to candidates anywhere in the United States.

The starting salary for this position is $183,013. We set compensation using market data and apply it consistently across the organization to ensure fairness and transparency for everyone in similar roles.

Our Culture of Care

We work hard to create a culture of care to ensure that our staff are best equipped to lead happy, healthy, and balanced lives. To that end, we offer a comprehensive benefits package which includes:

• Health, vision, and dental insurance with 100% of premiums covered for you and qualifying family members;
• Retirement benefits with a 5% employer match;
• A flexible unlimited PTO plan;
• Generous paid parental leave;
• Pre-tax commuter benefits;
• A company laptop;
• A flexible remote work environment;
• A home office setup stipend for all new employees;
• Monthly reimbursement for remote work expenses;
• A yearly professional development fund;
• Mental health and wellness benefits through Calm and Better Help;
• Yearly in-person staff retreats; and
• A welcoming culture that celebrates diversity, equity, inclusion, and belonging.

At Murmuration, we believe a vibrant, representative democracy depends on the inclusion of diverse voices, lived experiences, and perspectives. The best ideas don’t come from a single person or ideology — they emerge at the intersection of different backgrounds, identities, and viewpoints. We are proud of our commitment to building an organization and culture shaped by respect, empathy, and collaboration, where our team’s diversity fuels innovation, civic engagement, and meaningful change. We welcome new colleagues who will help us nurture this collective effort. Join us.

An Equal-Opportunity Employer with a Commitment to Diversity

Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job.

Note: Murmuration is two organizations working together to pursue our mission of amplifying the power of civic engagement: Murmuration Research Institute, a 501©(3) that conducts research to identify, design, and create the data, tools, and insights that build healthier and more equitable communities; and Murmuration, Inc., a 501©(4) that supports organizations working across the country on the nation’s most challenging issues with access to data, tools, and research that build healthier and more equitable communities.

Role OVO-View

Location: Hub based! Glasgow, Bristol, London

But you have the flexibility to work wherever suits you best. Minimum 1 hub visit per quarter for team planning.

Team: Performance and Insight

Salary banding:  £34,620 - £42,500

Experience: Proven experience in similar role, with broad experience of team working and cross functional engagement

Working pattern: Full-Time

Reporting to: Analytics Manager

Sponsorship: Unfortunately we are unable to offer sponsorship for this role.

This role in 3 words: Domain expert, technician of data, delivery

Top 3 qualities for this role: Data analyst, Communicator, Designer

Where you’ll work:

At OVO, we understand that a one size fits all approach doesn’t work for everyone. That’s why we created the OVO Way of Flexibility.

All our roles are hub based (Bristol, Glasgow or London), providing a dedicated space for collaboration, connection and teamwork. You’ll also have the flexibility to work from home.

Everyone belongs at OVO

At OVO, we are on a mission to solve one of humanity’s biggest challenges, the climate crisis. And we know it takes all of us to change the world. That’s why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us.

Teamworking for the planet

Everything we do here spins around Plan Zero. So, naturally, the team you’ll be joining plays a gigantic role in making that happen. Here’s how:

Through systematic data management and end-to-end workflow mapping, our team uncovers and eliminates operational waste. Streamlining these processes directly reduces carbon emissions, while our focus on automation and AI provides the scalable data infrastructure needed to track and accelerate the transition to net zero.

This role in a nutshell:

You’ll work alongside a team of experienced analysts, led by a Principal Analyst, to create engaging MI that tells our business story. By partnering closely with operational functions, you will provide the thought leadership needed to shape their data domains - focusing on reducing data-search time and maximising decision-making capability. You will also drive fresh methodologies in MI design and visualisation to deliver intuitive, fit-for-purpose reporting, while collaborating across Operations to build “playbooks for performance” that standardise how success is measured.

Your key outcomes will be:

Data & Technical Delivery

• Automated & Governance-Led Reporting: Build reliable, automated data processes and pipelines from trusted sources, adhering to strict data governance standards for maximum accuracy and scalability.

• Tailored Visualization: Design and deliver reusable views, dashboards, and regulatory reports tailored to different organizational audiences and platforms.

• Proactive System Maintenance: Automate data connection monitoring, quickly troubleshoot breakages, and maintain seamless data flows.

Insights & Communication

• Data Storytelling: Extract trends and present engaging data narratives to audiences, collaborating with senior analysts for support when needed.

• Collaboration & Feedback: Participate actively in workshops, communicate clearly, and support the team through constructive peer reviews for junior members.

• Continuous Learning: Actively seek feedback from all levels, research knowledge gaps, and pursue self-development opportunities.

Commercial & Stakeholder Impact

• Relationship Building: Foster strong, collaborative relationships with colleagues and stakeholders, working effectively towards shared goals.

• Strategic Alignment: Identify risks and opportunities tied to business objectives, and confidently challenge priorities that do not align with company strategy.

• Team Dynamics: Support a positive workplace by identifying workflow or culture issues and contributing to solutions.

Customer Focus

• Customer-Centric Mindset: Maintain a “customer in the room” mentality by tracking satisfaction metrics, analyzing customer behaviors, and digging into the root causes of their common problems.

You’ll be successful in this role at OVO if you…

• Are looking to enhance your skills in building MI and reporting skills within a best in class data governance structure - effectively constructing new MI and reporting that is reliable and delivers on our data governance standards.
• Passionate about working in a team of analysts - to participate in developing the central team and providing new analytical capabilities to Operations by providing training and support to staff on data analysis and interpretation.
• Love solving complex data problems and making a difference through collaboration - Bringing the right skills together to perform analytical deep dives on business issues to identify drivers and trends, extract insight from data and clearly explain their meaning with support from a team of experts in the central Performance and MI team. Applying the appropriate tools and methods to reach the best outcome and deliver the highest value impact for our customers and business.
• Are keen to develop your own skills and ways of working - We want to help enhance your skills whilst working here, and you’ll have time to do this. We also run community engagement events, mentoring/coaching and there are ample opportunities for peer to peer and self led learning based around our career framework
• Have mastery of the key technical skills - Confident in reading, writing and reviewing SQL queries, and fluent with more advanced features including analytic/window functions, CTEs, subqueries.. Can contribute to story building by providing insights from data exploration. Able to use these tools to solve simple problems relating to conversion rates or user journeys.
• Have previous experience in an analytics role where you have used SQL and Tableau skills
• Are comfortable with a dynamic environment - you’re confident with adapting to change and trying out new ways of working and merging new methodologies
• Challenge the status quo - you’re continuously looking to improve and build something great
• Enjoy working in cross-functional teams - we’re all about collaboration and working together to understand and solve problems.

Let’s talk about what’s in it for you

We’ll pay you between £34,620 and £42,500, depending on your specific skills and experience. If your expectations are a little different, have a chat with us!

We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission.

You’ll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal.

We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO…and there’s flex pay. We’ll give you 9% Flex Pay on top of your salary – 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we’ve put at the heart of our offering, add to your pension or even take it as cash.

Here’s a taster of what’s on offer:

For starters, you’ll get 34 days of holiday (including bank holidays).

For your health With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more

For your wellbeing With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more For your lifestyle With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give-as-you-earn donations

For your home Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers

For your commute Nab a great deal on ultra-low emission car leasing , plus our cycle to work scheme and public transport season ticket loans

Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know.

For your Belonging

To find better ways to support our people, we need to listen to each other’s experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It’s up to you.

Oh, and one last thing…

We’d be thrilled if you tick off all our boxes, yet we also believe it’s just as important we tick off all of yours. And if you think you have most of what we’re looking for but not every single thing, go ahead and hit apply. We’d still love to hear from you!

If you have any additional requirements, there’s a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible..

Role OVO-View

Location: Hub based! Bristol, London or Glasgow

But you have the flexibility to work wherever suits you best

Team: Enterprise MI

Salary banding:  £45,000 - £55,000

Experience: Proven experience in similar role, with broad experience of team working and cross functional engagement

Working pattern: Full-Time

Reporting to: Analytics Manager

Sponsorship: Unfortunately we are unable to offer sponsorship for this role.

This role in 3 words: Insightful, Championing, Driver

Top 3 qualities for this role: Innovator, Communicator, Designer

Where you’ll work:

At OVO, we understand that a one size fits all approach doesn’t work for everyone. That’s why we created the OVO Way of Flexibility.

All our roles are hub based (Bristol, Glasgow or London), providing a dedicated space for collaboration, connection and teamwork. You’ll also have the flexibility to work from home.

Everyone belongs at OVO

At OVO, we are on a mission to solve one of humanity’s biggest challenges, the climate crisis. And we know it takes all of us to change the world. That’s why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us.

Teamworking for the planet

Everything we do here spins around Plan Zero. So, naturally, the team you’ll be joining plays a gigantic role in making that happen. Here’s how:

Through systematic data management and end-to-end workflow mapping, our team uncovers and eliminates operational waste. Streamlining these processes directly reduces carbon emissions, while our focus on automation and AI provides the scalable data infrastructure needed to track and accelerate the transition to net zero.

This role in a nutshell:

You’ll collaborate with a team of experienced analysts, led by a Principal Analyst, to create engaging MI that tells the story of our business. By partnering directly with various operational functions, you’ll provide thought leadership to shape their domains and design MI that minimises data-search time and maximises decision-making capability. This role offers a unique opportunity to drive new methodologies in MI design and visualisation, ultimately building functional “playbooks for performance” so every team clearly understands how and where to measure success.

Your key outcomes will be:

Data Design, Visualization & Insights:

• Tailored Reporting: Design and build automated, reusable performance views, dashboards, and visualizations that provide clear trend insights for various organizational levels.

• Data Storytelling & Delivery: Extract insights and independently craft compelling narratives, confidently presenting complex data in an engaging way tailored to the audience.

• Platform Selection: Choose and deploy the right data platforms based on end-user consumption needs.

Data Governance & Pipeline Management:

• Automation & Trust: Build automated data pipelines using trusted sources aligned with strict data governance standards to ensure availability, scalability, and accuracy.

• Proactive Monitoring: Automate connection monitoring to quickly resolve breakages and maintain seamless data flow.

• Regulatory Compliance: Partner with the central Regulatory team to deliver accurate, automated compliance reporting that meets all quality assurance standards.

Collaboration & Cross-Functional Partnership

• Product Alignment: Partner with Product teams to ensure data readiness alongside new platform functionality.

• Leadership & Mentorship: Lead collaborative workshops and meetings, communicate clearly, and mentor junior team members through constructive design and code reviews.

Strategic Impact & Customer Focus

• Commercial Strategy: Align daily priorities and team vision with the broader corporate strategy, proactively challenging work that does not drive strategic value.

• Prioritization: Regularly review backlog priorities to maximize the team’s impact on business goals.

• Customer-Centric Outcomes: Use data insights to identify and deliver opportunities that directly improve the customer experience.

You’ll be a successful in this role here at OVO if you…

• Are comfortable in the world of telling the story of performance at a senior leadership level - effectively constructing narratives based on data analysis to effectively communicate insights and recommendations to senior leadership.
• Passionate about creating new insight through MI - to uncover new insights and to enhance the analytical capabilities of the organisation by providing training and support to staff on data analysis and interpretation
• Love solving complex data problems and making a difference through collaboration. Bringing the right skills together to perform analytical deep dives on business issues to identify drivers and trends, extract insight from data and clearly explain their meaning.. Applying the appropriate tools and methods to reach the best outcome and deliver the highest value impact for our customers and business.
• Are keen to develop your own skills and ways of working. We want to help enhance your skills whilst working here, and you’ll have time to do this. We also run community engagement events, mentoring/coaching and there are ample opportunities for peer to peer and self led learning based around our career framework
• Have mastery of the key technical skills - Fluent with more advanced SQL features including analytic/window functions, CTEs, subqueries.. Has a good understanding of performance/processing concepts including normalisation, indexing, transactions, locking and partitioning. Knows different error handling techniques, including dealing with complexity issues.  Able to build a narrative through the use of multiple visualisations that clearly present the important information and outcomes
• Are comfortable with a dynamic environment - you’re confident with adapting to change and trying out new ways of working and merging new methodologies
• Challenge the status quo - you’re continuously looking to improve and build something great
• Enjoy working in cross-functional teams - we’re all about collaboration and working together to understand and solve problems.

Let’s talk about what’s in it for you

We’ll pay you between £45,000 and £55,000, depending on your specific skills and experience. If your expectations are a little different, have a chat with us!

We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission.

You’ll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal.

We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO…and there’s flex pay. We’ll give you 9% Flex Pay on top of your salary – 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we’ve put at the heart of our offering, add to your pension or even take it as cash.

Here’s a taster of what’s on offer:

For starters, you’ll get 34 days of holiday (including bank holidays).

For your health With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more

For your wellbeing With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more For your lifestyle With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give-as-you-earn donations

For your home Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers

For your commute Nab a great deal on ultra-low emission car leasing , plus our cycle to work scheme and public transport season ticket loans

Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know.

For your Belonging

To find better ways to support our people, we need to listen to each other’s experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It’s up to you.

Oh, and one last thing…

We’d be thrilled if you tick off all our boxes, yet we also believe it’s just as important we tick off all of yours. And if you think you have most of what we’re looking for but not every single thing, go ahead and hit apply. We’d still love to hear from you!

If you have any additional requirements, there’s a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible..

Company Description

When you join Turnitin, you’ll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are.

Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.

Job Description

We are seeking a Director, Business Intelligence & Analytics (BIA) to report to the Vice President of Revenue Operations. This is a builder’s role for a leader who thinks in systems, treats analytics like a product, and is excited to operate at the frontier of AI-augmented decision-making. A leader who can define what we measure, why it matters, and how every number ties back to a clean, trusted source. Before anything else, this person establishes the foundation the rest of the business runs on: a rigorous set of KPIs, unambiguous metric definitions, sound data models, and a single version of the truth that executives and sellers alike can rely on. Get that right, and everything else compounds. Get it wrong, and no tool or technique can save it.

You will own the operational backbone of Revenue Operations analytics — the metrics, the definitions, the governance, and the reporting that leadership uses to run the business. You will gather requirements across teams, reconcile conflicting numbers, close data gaps, and turn fuzzy questions into precise, durable measures. This is the work that makes everything else possible.

With that foundation in place, you will modernize how we deliver it. We are migrating from a legacy Redshift/Alteryx/Tableau stack to a modern, code-driven ecosystem built on Redshift, dbt, Dagster, and Airbyte, paired with a next-generation, version-controlled BI layer. The goal is to treat analytics like a well-engineered software product — tested, documented, version-controlled, and built to scale as fast as the business does.

This modernization unlocks the next chapter: an AI-augmented function where a strong operational core is amplified by emerging tooling. We believe the analytics team of the next few years will increasingly work from an AI coding cockpit — agentic developer tools like Claude Code and Codex alongside GitHub — to build, review, and ship pipelines, models, and dashboards. On top of well-defined metrics, that opens the door to conversational analytics, AI-generated narratives, and agents that surface and act on insight. The key word is on top of — AI multiplies a solid foundation; it does not substitute for one. The ideal candidate has already moved past the chat window and uses agentic coding assistants to do real engineering work, but reaches for them in service of operational rigor, not in place of it.

As the subject matter expert for Business Intelligence and Analytics, you will partner closely with field and operational teams, instituting leading practices that pair analytics-engineering discipline (Git, CI/CD, testing, semantic layers) with self-service access. You will lead a team of Business Intelligence & Analytics Analysts, Analytics/Data Engineers, and Data Quality Specialists.

Above all, this is a full-stack, player-coach role — not a hands-off manager. You’ll lead a team, but you’ll also be in the work: your morning might be deep in data engineering, pairing with Claude Code to refactor a dbt model or debug a Dagster pipeline, and your afternoon might be building and delivering a polished, board-ready presentation that translates that same data into a clear story for the C-suite. We’re looking for someone who is equally credible in a terminal and in the boardroom, and who is genuinely energized by the full range — from the plumbing to the podium.

Key Responsibilities:

Operational Excellence & Metric Definition (the foundation)

• Own and maintain a comprehensive, well-governed set of business KPIs and the precise metric definitions behind them — the trusted source the rest of the business runs on. This spans the core recurring-revenue metrics this function lives and dies by — ARR, ACV, GRR, NRR, churn and contraction, bookings, pipeline and pipeline coverage, win rate, sales-cycle length, quota attainment, and forecast accuracy — along with the upstream operational measures that feed them.
• Nail the definitions where the traps live: how contraction is treated across GRR vs. NRR, churn vs. downgrade, ACV vs. TCV, new vs. expansion vs. renewal, and how each metric is segmented and rolled up. Make the calculation logic explicit, documented, and consistent everywhere it appears.
• Establish a “single version of the truth”: reconcile conflicting numbers, eliminate ambiguity in how metrics are calculated, and ensure every figure traces back to a clean, documented source.
• Gather requirements across teams, identify and close data gaps, and turn fuzzy business questions into durable, precise measures.
• Design and document the analytics/data model for key personas across Turnitin — sellers, sales management, executives, and operations staff.
• Audit and ensure the cleanliness, completeness, and reliability of data through automated testing and validation.
• Partner with the Business Planning & Operations group to co-develop and continuously improve reporting and analysis, including preparation for Quarterly Business Reviews.
• Build automated, repeatable reporting solutions rather than one-off manual reports.

Strategic Leadership

• Develop and execute a BI strategy aligned with company objectives, anchored in operational rigor and trusted metrics, and built to scale with business growth.
• Establish the architecture, standards, and governance that keep data trustworthy as the function and the business scale.
• Shape the long-term vision for the analytics function and the roadmap that takes the team from today’s stack to a modern, code-driven, and ultimately AI-augmented operating model.
• Provide thought leadership and drive innovation across the enterprise analytics portfolio.

Modern Data Platform & BI-as-Code (how we deliver the foundation)

• Lead the migration from the legacy stack (Redshift, Alteryx, Tableau) to a modern ecosystem: dbt for transformation and modeling, Dagster for orchestration, Airbyte for ingestion, Redshift as the warehouse, and a modern code-first BI/semantic layer.
• Treat BI as a software product — version control everything in Git, with code review, testing, CI/CD, and documentation as the default way of working.
• Stand up and govern a code-driven semantic layer that turns the metric definitions above into reusable, testable, single-source assets, replacing brittle GUI-built reporting.
• Drive data quality, governance, security, and access controls as code, with automated validation and monitoring.
• Develop intuitive self-service dashboards that support global requirements.

AI & Agentic Analytics (the amplifier, built on the foundation)

• Champion the adoption of agentic coding tools (e.g., Claude Code, Codex) across the team for pipeline development, model building, dashboarding, and analysis — moving well beyond chat-window prompting.
• Build conversational analytics experiences that let stakeholders query data in natural language and receive trustworthy, governed answers — only ever on top of well-defined metrics.
• Implement AI-generated narratives that automatically explain “what happened and why” on top of dashboards and KPIs.
• Pilot and operationalize AI agents that don’t just surface insight but take action on it — drafting analyses, opening pull requests, flagging anomalies, and proposing next steps.
• Stay ahead of the rapidly evolving LLM and agent tooling landscape, and translate it into practical productivity gains for Revenue Operations.

Collaboration and Communication

• Work closely with business users, stakeholders, and the broader Go-To-Market and Revenue Operations teams to translate business needs into analytics initiatives.
• Communicate effectively across technical and non-technical audiences and across geographies.
• Present complex analyses and insights to non-technical stakeholders in a clear, actionable manner.

Team Development

• Lead as a player-coach — set direction and mentor the team, while staying hands-on in the build, modeling the engineering and presentation standards you expect.
• Build, mentor, and manage a high-performing team of analysts, analytics/data engineers, and BI developers.
• Upskill the team in analytics engineering practices and AI-assisted development.
• Foster a culture of innovation, continuous improvement, and data-driven decision-making.

Qualifications

Basic Qualifications

Experience

• Minimum of 10 years in business intelligence, data analytics, analytics engineering, or related fields, with at least 5 years in a leadership role.
• 7+ years across business/revenue operations, business analytics, consulting, and/or information technology.
• Demonstrated track record defining KPIs and metric frameworks, and establishing a trusted single source of truth across an organization.
• Deep fluency in SaaS recurring-revenue metrics — ARR, ACV, GRR, NRR, churn/contraction, bookings, pipeline, win rate, quota attainment, and forecast accuracy — including the judgment to define them rigorously and defend the calculation logic.
• Proven ability to source and integrate data from multiple systems into a single, trusted view, and to reconcile conflicting numbers.
• Practical end-to-end experience across requirements, design, development, testing, and deployment of analytics solutions at varying scale.
• Strong SQL skills, plus working proficiency in Python for data work and automation.
• Experience with BI and visualization tools (e.g., Tableau today, with a clear point of view on code-first BI tools) and with CRM data for revenue reporting and forecasting (e.g., Salesforce).
• Proven track record implementing and managing self-service BI solutions.
• Experience analyzing complex data relationships and exploring “what-if” scenarios.
• Hands-on experience with a modern, code-driven data stack — including transformation (dbt), orchestration (Dagster or similar), and ingestion/ELT (Airbyte or similar) — on a cloud warehouse such as Redshift.
• Comfort working in a version-controlled, code-first environment (Git/GitHub), including code review and CI/CD for analytics.
• Demonstrated, hands-on use of LLMs and agentic coding tools (e.g., Claude Code, Codex) for real engineering and analytics work — not just chat-based prompting.

Skills

• A systems thinker — able to see how metrics, data sources, processes, and teams connect, and to design analytics that hold together as the whole system changes.
• Strong analytical skills — able to evaluate information from multiple sources, reconcile conflicts, decompose high-level requests into detail, and abstract detail into general understanding.
• Demonstrated business acumen and the ability to apply technology to solve business problems.
• Self-starter who operates independently with a track record of success on strategic and operational work.
• Ability to lead teams across functions and geographies on ambiguous, complex problems.
• A full-stack player-coach — hands-on enough to build the pipeline yourself, polished enough to present the result to the C-suite, and able to move between the two in the same day.
• Strong written and verbal communication skills, with a track record of presenting to senior management.
• Ability to manage multiple competing priorities and drive projects to completion.
• Sound business judgment, a proven ability to influence, and a bias for ownership.

Education

• Bachelor’s degree in Business, Data Science, Computer Science, or a related field. A Master’s degree or MBA is preferred.

Preferred Qualifications

• Experience supporting education and/or nonprofit institutions.
• Management or Financial Consulting background.
• Experience building conversational analytics, AI-generated narratives, or semantic/metrics layers.
• Experience deploying AI agents that build pipelines, dashboards, or analyses, or that act on insights.
• Familiarity with data quality and observability tooling, and with governance-as-code.
• Advanced degrees, certifications, or coursework in business intelligence, analytics, data science, or AI/ML.

Additional Information

The expected annual base salary range for this position is: $130,350/year to $217,250/year. This position is bonus eligible.

Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.

Total Rewards @ Turnitin

At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work.

Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates.

In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being.

Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.

Our Values underpin everything we do.

• Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do.
• Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe.
• Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors.
• Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard.
• One Team: We strive to break down silos, collaborate effectively, and celebrate each others’ successes.
• Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world.

Global Benefits

• Remote First Culture
• Health Care Coverage
• Education Reimbursement*Competitive Paid Time Off
• Self-Care Days
• National Holidays
• 2 Founder Days + Juneteenth Observed
• Paid Volunteer Time Off
• Charitable Contribution Match
• Monthly Wellness or Home Office Reimbursement
• Access to Employee Assistance Program (mental health platform)
• Parental Leave
• Retirement Plan with match/contribution

Seeing Beyond the Job Ad

At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad.  We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team!

Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.

#LI-LL1

Role OVO-View

Location: Hub based! Glasgow, Bristol, London

But you have the flexibility to work wherever suits you best. Minimum 1 hub visit per quarter for team planning.

Team: Performance and Insight

Salary banding:  £34,620 - £42,500

Experience: Proven experience in similar role, with broad experience of team working and cross functional engagement

Working pattern: Full-Time

Reporting to: Analytics Manager

Sponsorship: Unfortunately we are unable to offer sponsorship for this role.

This role in 3 words: Domain expert, technician of data, delivery

Top 3 qualities for this role: Data analyst, Communicator, Designer

Where you’ll work:

At OVO, we understand that a one size fits all approach doesn’t work for everyone. That’s why we created the OVO Way of Flexibility.

All our roles are hub based (Bristol, Glasgow or London), providing a dedicated space for collaboration, connection and teamwork. You’ll also have the flexibility to work from home.

Everyone belongs at OVO

At OVO, we are on a mission to solve one of humanity’s biggest challenges, the climate crisis. And we know it takes all of us to change the world. That’s why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us.

Teamworking for the planet

Everything we do here spins around Plan Zero. So, naturally, the team you’ll be joining plays a gigantic role in making that happen. Here’s how:

Through systematic data management and end-to-end workflow mapping, our team uncovers and eliminates operational waste. Streamlining these processes directly reduces carbon emissions, while our focus on automation and AI provides the scalable data infrastructure needed to track and accelerate the transition to net zero.

This role in a nutshell:

You’ll work alongside a team of experienced analysts, led by a Principal Analyst, to create engaging MI that tells our business story. By partnering closely with operational functions, you will provide the thought leadership needed to shape their data domains - focusing on reducing data-search time and maximising decision-making capability. You will also drive fresh methodologies in MI design and visualisation to deliver intuitive, fit-for-purpose reporting, while collaborating across Operations to build “playbooks for performance” that standardise how success is measured.

Your key outcomes will be:

Data & Technical Delivery

• Automated & Governance-Led Reporting: Build reliable, automated data processes and pipelines from trusted sources, adhering to strict data governance standards for maximum accuracy and scalability.

• Tailored Visualization: Design and deliver reusable views, dashboards, and regulatory reports tailored to different organizational audiences and platforms.

• Proactive System Maintenance: Automate data connection monitoring, quickly troubleshoot breakages, and maintain seamless data flows.

Insights & Communication

• Data Storytelling: Extract trends and present engaging data narratives to audiences, collaborating with senior analysts for support when needed.

• Collaboration & Feedback: Participate actively in workshops, communicate clearly, and support the team through constructive peer reviews for junior members.

• Continuous Learning: Actively seek feedback from all levels, research knowledge gaps, and pursue self-development opportunities.

Commercial & Stakeholder Impact

• Relationship Building: Foster strong, collaborative relationships with colleagues and stakeholders, working effectively towards shared goals.

• Strategic Alignment: Identify risks and opportunities tied to business objectives, and confidently challenge priorities that do not align with company strategy.

• Team Dynamics: Support a positive workplace by identifying workflow or culture issues and contributing to solutions.

Customer Focus

• Customer-Centric Mindset: Maintain a “customer in the room” mentality by tracking satisfaction metrics, analyzing customer behaviors, and digging into the root causes of their common problems.

You’ll be successful in this role at OVO if you…

• Are looking to enhance your skills in building MI and reporting skills within a best in class data governance structure - effectively constructing new MI and reporting that is reliable and delivers on our data governance standards.
• Passionate about working in a team of analysts - to participate in developing the central team and providing new analytical capabilities to Operations by providing training and support to staff on data analysis and interpretation.
• Love solving complex data problems and making a difference through collaboration - Bringing the right skills together to perform analytical deep dives on business issues to identify drivers and trends, extract insight from data and clearly explain their meaning with support from a team of experts in the central Performance and MI team. Applying the appropriate tools and methods to reach the best outcome and deliver the highest value impact for our customers and business.
• Are keen to develop your own skills and ways of working - We want to help enhance your skills whilst working here, and you’ll have time to do this. We also run community engagement events, mentoring/coaching and there are ample opportunities for peer to peer and self led learning based around our career framework
• Have mastery of the key technical skills - Confident in reading, writing and reviewing SQL queries, and fluent with more advanced features including analytic/window functions, CTEs, subqueries.. Can contribute to story building by providing insights from data exploration. Able to use these tools to solve simple problems relating to conversion rates or user journeys.
• Have previous experience in an analytics role where you have used SQL and Tableau skills
• Are comfortable with a dynamic environment - you’re confident with adapting to change and trying out new ways of working and merging new methodologies
• Challenge the status quo - you’re continuously looking to improve and build something great
• Enjoy working in cross-functional teams - we’re all about collaboration and working together to understand and solve problems.

Let’s talk about what’s in it for you

We’ll pay you between £34,620 and £42,500, depending on your specific skills and experience. If your expectations are a little different, have a chat with us!

We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission.

You’ll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal.

We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO…and there’s flex pay. We’ll give you 9% Flex Pay on top of your salary – 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we’ve put at the heart of our offering, add to your pension or even take it as cash.

Here’s a taster of what’s on offer:

For starters, you’ll get 34 days of holiday (including bank holidays).

For your health With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more

For your wellbeing With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more For your lifestyle With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give-as-you-earn donations

For your home Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers

For your commute Nab a great deal on ultra-low emission car leasing , plus our cycle to work scheme and public transport season ticket loans

Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know.

For your Belonging

To find better ways to support our people, we need to listen to each other’s experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It’s up to you.

Oh, and one last thing…

We’d be thrilled if you tick off all our boxes, yet we also believe it’s just as important we tick off all of yours. And if you think you have most of what we’re looking for but not every single thing, go ahead and hit apply. We’d still love to hear from you!

If you have any additional requirements, there’s a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible..

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Team:

The Research Operations team is critical to the evolution and reliability of AlphaSense’s Financial Data products. By focusing on operational excellence, data quality, and technical administration, the team directly drives product utility and client trust.

About the Role:

The Research Operations Associate will play a central role in building, maintaining, and evolving our Financial Data content set within our Financial Data team. In this role, you won’t just manage data — you’ll be an integral part of operationalizing our strategy, conducting intensive analysis, and developing the tools that drive team success. This role sits at the intersection of capital markets and data, offering hands-on exposure to both the mechanics of financial markets and the systems that power them. It is an excellent launchpad for someone looking to grow their operational skillset within the finance industry.

Who You Are:

• Education & Market Knowledge: Bachelor’s degree in Finance, Economics, Data Analytics, Mathematics, or a related quantitative field.
• Experience Level: 1+ years of experience in finance or a related analytical field, or equivalent exposure through internships and coursework in statistics, financial accounting, or business analytics.
• Advanced Excel & Data Tools: Proficiency in Excel (VLOOKUPs/XLOOKUPs, Index-Match, Pivot Tables, Data Validation, basic Macro/VBA), SQL for database querying, and Python (Pandas) for automating repetitive data tasks.Visualization & Financial Platforms: Basic experience with Tableau or Power BI; familiarity with Bloomberg, FactSet, or S&P Capital IQ (including through university lab access) is a plus.
• Data Integrity & Attention to Detail: A perfectionist mindset toward data entry, maintenance, and accuracy — in operations, the small things are the big things.
• Documentation, Organization & Time Management: Ability to write clear Standard Operating Procedures (SOPs) for repeatable workflows, while managing recurring deliverables (e.g., weekly reports) alongside ad-hoc requests from senior analysts; must be able to work EST hours.

What You’ll Do:

• Produce Weekly Schedules: Streamline the production of weekly schedules to ensure the Global Equity Research team is positioned for high-velocity output
• Drive Research Prioritization: Develop and refine data-driven reporting frameworks for predictive models, enabling the team to strategically prioritize workflow and resource allocation.
• Identify Growth Opportunities: Conduct rigorous gap analyses to pinpoint areas for coverage expansion.
• Advance Financial Data Content: Audit, evaluate and remediate vendor data questions and entity related matters impacting the flow of Financial Data content.
• Lifecycle Event Management: Serve as a subject matter expert on coverage lifecycle events, facilitating seamless transitions during corporate actions such as acquisitions, delistings, and restructurings.
• Workflow Optimization: Analyze existing workflows and technical documentation to enhance departmental scalability and efficiency.
• Quantify Impact: Synthesize internal KPIs and client engagement metrics into reports that provide visibility into team performance and market reach.
• Tech Stack Administration: Manage user access and permissions across the Research team’s suite of proprietary tools, ensuring secure and uninterrupted workflow.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range

$51,000—$70,000 USD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

• AlphaSense never asks candidates to pay for job applications, equipment, or training.
• All official communications will come from an @alpha-sense.com email address.
• If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Role OVO-View

Location: Hub based! Bristol, London or Glasgow

But you have the flexibility to work wherever suits you best

Team: Enterprise MI

Salary banding:  £45,000 - £55,000

Experience: Proven experience in similar role, with broad experience of team working and cross functional engagement

Working pattern: Full-Time

Reporting to: Analytics Manager

Sponsorship: Unfortunately we are unable to offer sponsorship for this role.

This role in 3 words: Insightful, Championing, Driver

Top 3 qualities for this role: Innovator, Communicator, Designer

Where you’ll work:

At OVO, we understand that a one size fits all approach doesn’t work for everyone. That’s why we created the OVO Way of Flexibility.

All our roles are hub based (Bristol, Glasgow or London), providing a dedicated space for collaboration, connection and teamwork. You’ll also have the flexibility to work from home.

Everyone belongs at OVO

At OVO, we are on a mission to solve one of humanity’s biggest challenges, the climate crisis. And we know it takes all of us to change the world. That’s why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us.

Teamworking for the planet

Everything we do here spins around Plan Zero. So, naturally, the team you’ll be joining plays a gigantic role in making that happen. Here’s how:

Through systematic data management and end-to-end workflow mapping, our team uncovers and eliminates operational waste. Streamlining these processes directly reduces carbon emissions, while our focus on automation and AI provides the scalable data infrastructure needed to track and accelerate the transition to net zero.

This role in a nutshell:

You’ll collaborate with a team of experienced analysts, led by a Principal Analyst, to create engaging MI that tells the story of our business. By partnering directly with various operational functions, you’ll provide thought leadership to shape their domains and design MI that minimises data-search time and maximises decision-making capability. This role offers a unique opportunity to drive new methodologies in MI design and visualisation, ultimately building functional “playbooks for performance” so every team clearly understands how and where to measure success.

Your key outcomes will be:

Data Design, Visualization & Insights:

• Tailored Reporting: Design and build automated, reusable performance views, dashboards, and visualizations that provide clear trend insights for various organizational levels.

• Data Storytelling & Delivery: Extract insights and independently craft compelling narratives, confidently presenting complex data in an engaging way tailored to the audience.

• Platform Selection: Choose and deploy the right data platforms based on end-user consumption needs.

Data Governance & Pipeline Management:

• Automation & Trust: Build automated data pipelines using trusted sources aligned with strict data governance standards to ensure availability, scalability, and accuracy.

• Proactive Monitoring: Automate connection monitoring to quickly resolve breakages and maintain seamless data flow.

• Regulatory Compliance: Partner with the central Regulatory team to deliver accurate, automated compliance reporting that meets all quality assurance standards.

Collaboration & Cross-Functional Partnership

• Product Alignment: Partner with Product teams to ensure data readiness alongside new platform functionality.

• Leadership & Mentorship: Lead collaborative workshops and meetings, communicate clearly, and mentor junior team members through constructive design and code reviews.

Strategic Impact & Customer Focus

• Commercial Strategy: Align daily priorities and team vision with the broader corporate strategy, proactively challenging work that does not drive strategic value.

• Prioritization: Regularly review backlog priorities to maximize the team’s impact on business goals.

• Customer-Centric Outcomes: Use data insights to identify and deliver opportunities that directly improve the customer experience.

You’ll be a successful in this role here at OVO if you…

• Are comfortable in the world of telling the story of performance at a senior leadership level - effectively constructing narratives based on data analysis to effectively communicate insights and recommendations to senior leadership.
• Passionate about creating new insight through MI - to uncover new insights and to enhance the analytical capabilities of the organisation by providing training and support to staff on data analysis and interpretation
• Love solving complex data problems and making a difference through collaboration. Bringing the right skills together to perform analytical deep dives on business issues to identify drivers and trends, extract insight from data and clearly explain their meaning.. Applying the appropriate tools and methods to reach the best outcome and deliver the highest value impact for our customers and business.
• Are keen to develop your own skills and ways of working. We want to help enhance your skills whilst working here, and you’ll have time to do this. We also run community engagement events, mentoring/coaching and there are ample opportunities for peer to peer and self led learning based around our career framework
• Have mastery of the key technical skills - Fluent with more advanced SQL features including analytic/window functions, CTEs, subqueries.. Has a good understanding of performance/processing concepts including normalisation, indexing, transactions, locking and partitioning. Knows different error handling techniques, including dealing with complexity issues.  Able to build a narrative through the use of multiple visualisations that clearly present the important information and outcomes
• Are comfortable with a dynamic environment - you’re confident with adapting to change and trying out new ways of working and merging new methodologies
• Challenge the status quo - you’re continuously looking to improve and build something great
• Enjoy working in cross-functional teams - we’re all about collaboration and working together to understand and solve problems.

Let’s talk about what’s in it for you

We’ll pay you between £45,000 and £55,000, depending on your specific skills and experience. If your expectations are a little different, have a chat with us!

We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission.

You’ll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal.

We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO…and there’s flex pay. We’ll give you 9% Flex Pay on top of your salary – 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we’ve put at the heart of our offering, add to your pension or even take it as cash.

Here’s a taster of what’s on offer:

For starters, you’ll get 34 days of holiday (including bank holidays).

For your health With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more

For your wellbeing With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more For your lifestyle With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give-as-you-earn donations

For your home Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers

For your commute Nab a great deal on ultra-low emission car leasing , plus our cycle to work scheme and public transport season ticket loans

Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know.

For your Belonging

To find better ways to support our people, we need to listen to each other’s experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It’s up to you.

Oh, and one last thing…

We’d be thrilled if you tick off all our boxes, yet we also believe it’s just as important we tick off all of yours. And if you think you have most of what we’re looking for but not every single thing, go ahead and hit apply. We’d still love to hear from you!

If you have any additional requirements, there’s a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible..

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Team:

The Research Operations team is critical to the evolution and reliability of AlphaSense’s Financial Data products. By focusing on operational excellence, data quality, and technical administration, the team directly drives product utility and client trust.

About the Role:

The Research Operations Associate will play a central role in building, maintaining, and evolving our Financial Data content set within our Financial Data team. In this role, you won’t just manage data — you’ll be an integral part of operationalizing our strategy, conducting intensive analysis, and developing the tools that drive team success. This role sits at the intersection of capital markets and data, offering hands-on exposure to both the mechanics of financial markets and the systems that power them. It is an excellent launchpad for someone looking to grow their operational skillset within the finance industry.

Who You Are:

• Education & Market Knowledge: Bachelor’s degree in Finance, Economics, Data Analytics, Mathematics, or a related quantitative field.
• Experience Level: 1+ years of experience in finance or a related analytical field, or equivalent exposure through internships and coursework in statistics, financial accounting, or business analytics.
• Advanced Excel & Data Tools: Proficiency in Excel (VLOOKUPs/XLOOKUPs, Index-Match, Pivot Tables, Data Validation, basic Macro/VBA), SQL for database querying, and Python (Pandas) for automating repetitive data tasks.Visualization & Financial Platforms: Basic experience with Tableau or Power BI; familiarity with Bloomberg, FactSet, or S&P Capital IQ (including through university lab access) is a plus.
• Data Integrity & Attention to Detail: A perfectionist mindset toward data entry, maintenance, and accuracy — in operations, the small things are the big things.
• Documentation, Organization & Time Management: Ability to write clear Standard Operating Procedures (SOPs) for repeatable workflows, while managing recurring deliverables (e.g., weekly reports) alongside ad-hoc requests from senior analysts; must be able to work EST hours.

What You’ll Do:

• Produce Weekly Schedules: Streamline the production of weekly schedules to ensure the Global Equity Research team is positioned for high-velocity output
• Drive Research Prioritization: Develop and refine data-driven reporting frameworks for predictive models, enabling the team to strategically prioritize workflow and resource allocation.
• Identify Growth Opportunities: Conduct rigorous gap analyses to pinpoint areas for coverage expansion.
• Advance Financial Data Content: Audit, evaluate and remediate vendor data questions and entity related matters impacting the flow of Financial Data content.
• Lifecycle Event Management: Serve as a subject matter expert on coverage lifecycle events, facilitating seamless transitions during corporate actions such as acquisitions, delistings, and restructurings.
• Workflow Optimization: Analyze existing workflows and technical documentation to enhance departmental scalability and efficiency.
• Quantify Impact: Synthesize internal KPIs and client engagement metrics into reports that provide visibility into team performance and market reach.
• Tech Stack Administration: Manage user access and permissions across the Research team’s suite of proprietary tools, ensuring secure and uninterrupted workflow.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range

$51,000—$70,000 USD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

• AlphaSense never asks candidates to pay for job applications, equipment, or training.
• All official communications will come from an @alpha-sense.com email address.
• If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Role OVO-View

Location: Hub based! Bristol, London or Glasgow

But you have the flexibility to work wherever suits you best

Team: Enterprise MI

Salary banding:  £45,000 - £55,000

Experience: Proven experience in similar role, with broad experience of team working and cross functional engagement

Working pattern: Full-Time

Reporting to: Analytics Manager

Sponsorship: Unfortunately we are unable to offer sponsorship for this role.

This role in 3 words: Insightful, Championing, Driver

Top 3 qualities for this role: Innovator, Communicator, Designer

Where you’ll work:

At OVO, we understand that a one size fits all approach doesn’t work for everyone. That’s why we created the OVO Way of Flexibility.

All our roles are hub based (Bristol, Glasgow or London), providing a dedicated space for collaboration, connection and teamwork. You’ll also have the flexibility to work from home.

Everyone belongs at OVO

At OVO, we are on a mission to solve one of humanity’s biggest challenges, the climate crisis. And we know it takes all of us to change the world. That’s why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us.

Teamworking for the planet

Everything we do here spins around Plan Zero. So, naturally, the team you’ll be joining plays a gigantic role in making that happen. Here’s how:

Through systematic data management and end-to-end workflow mapping, our team uncovers and eliminates operational waste. Streamlining these processes directly reduces carbon emissions, while our focus on automation and AI provides the scalable data infrastructure needed to track and accelerate the transition to net zero.

This role in a nutshell:

You’ll collaborate with a team of experienced analysts, led by a Principal Analyst, to create engaging MI that tells the story of our business. By partnering directly with various operational functions, you’ll provide thought leadership to shape their domains and design MI that minimises data-search time and maximises decision-making capability. This role offers a unique opportunity to drive new methodologies in MI design and visualisation, ultimately building functional “playbooks for performance” so every team clearly understands how and where to measure success.

Your key outcomes will be:

Data Design, Visualization & Insights:

• Tailored Reporting: Design and build automated, reusable performance views, dashboards, and visualizations that provide clear trend insights for various organizational levels.

• Data Storytelling & Delivery: Extract insights and independently craft compelling narratives, confidently presenting complex data in an engaging way tailored to the audience.

• Platform Selection: Choose and deploy the right data platforms based on end-user consumption needs.

Data Governance & Pipeline Management:

• Automation & Trust: Build automated data pipelines using trusted sources aligned with strict data governance standards to ensure availability, scalability, and accuracy.

• Proactive Monitoring: Automate connection monitoring to quickly resolve breakages and maintain seamless data flow.

• Regulatory Compliance: Partner with the central Regulatory team to deliver accurate, automated compliance reporting that meets all quality assurance standards.

Collaboration & Cross-Functional Partnership

• Product Alignment: Partner with Product teams to ensure data readiness alongside new platform functionality.

• Leadership & Mentorship: Lead collaborative workshops and meetings, communicate clearly, and mentor junior team members through constructive design and code reviews.

Strategic Impact & Customer Focus

• Commercial Strategy: Align daily priorities and team vision with the broader corporate strategy, proactively challenging work that does not drive strategic value.

• Prioritization: Regularly review backlog priorities to maximize the team’s impact on business goals.

• Customer-Centric Outcomes: Use data insights to identify and deliver opportunities that directly improve the customer experience.

You’ll be a successful in this role here at OVO if you…

• Are comfortable in the world of telling the story of performance at a senior leadership level - effectively constructing narratives based on data analysis to effectively communicate insights and recommendations to senior leadership.
• Passionate about creating new insight through MI - to uncover new insights and to enhance the analytical capabilities of the organisation by providing training and support to staff on data analysis and interpretation
• Love solving complex data problems and making a difference through collaboration. Bringing the right skills together to perform analytical deep dives on business issues to identify drivers and trends, extract insight from data and clearly explain their meaning.. Applying the appropriate tools and methods to reach the best outcome and deliver the highest value impact for our customers and business.
• Are keen to develop your own skills and ways of working. We want to help enhance your skills whilst working here, and you’ll have time to do this. We also run community engagement events, mentoring/coaching and there are ample opportunities for peer to peer and self led learning based around our career framework
• Have mastery of the key technical skills - Fluent with more advanced SQL features including analytic/window functions, CTEs, subqueries.. Has a good understanding of performance/processing concepts including normalisation, indexing, transactions, locking and partitioning. Knows different error handling techniques, including dealing with complexity issues.  Able to build a narrative through the use of multiple visualisations that clearly present the important information and outcomes
• Are comfortable with a dynamic environment - you’re confident with adapting to change and trying out new ways of working and merging new methodologies
• Challenge the status quo - you’re continuously looking to improve and build something great
• Enjoy working in cross-functional teams - we’re all about collaboration and working together to understand and solve problems.

Let’s talk about what’s in it for you

We’ll pay you between £45,000 and £55,000, depending on your specific skills and experience. If your expectations are a little different, have a chat with us!

We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission.

You’ll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal.

We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO…and there’s flex pay. We’ll give you 9% Flex Pay on top of your salary – 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we’ve put at the heart of our offering, add to your pension or even take it as cash.

Here’s a taster of what’s on offer:

For starters, you’ll get 34 days of holiday (including bank holidays).

For your health With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more

For your wellbeing With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more For your lifestyle With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give-as-you-earn donations

For your home Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers

For your commute Nab a great deal on ultra-low emission car leasing , plus our cycle to work scheme and public transport season ticket loans

Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know.

For your Belonging

To find better ways to support our people, we need to listen to each other’s experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It’s up to you.

Oh, and one last thing…

We’d be thrilled if you tick off all our boxes, yet we also believe it’s just as important we tick off all of yours. And if you think you have most of what we’re looking for but not every single thing, go ahead and hit apply. We’d still love to hear from you!

If you have any additional requirements, there’s a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible..

About Us

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can't improve on nature. It's good for mind, body and soul, and it's our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You'll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you're genuinely curious about how this part of the craft is evolving. As an early team member, you'll help shape how we work in this environment, not just execute someone else's playbook.

We're looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn't hesitate to sweep the floor (fix a broken Excel link), isn't afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

Your Responsibilities

• Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You'll own these end-to-end: scoping, building, validating, and communicating findings
• Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work
• Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day
• Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means
• Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you've collaborated on with AI agents, and you'll bring the data intuition that makes that work trustworthy
• Investigate ambiguous data questions where the answer isn't in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business
• Help build and maintain Stio's data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve
• Improve data governance for both the Data & Analytics team and the business at large by creating documentation that's actually useful and that AI agents can consume as context for future work
• Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side
  
  

Your Skills And Experience

• 3+ years of professional experience as a data analyst, analytics engineer, or similar role
• Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
• Hands-on experience with dbt, including writing models, tests, and documentation. You don't need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
• Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
• Version control with Git/GitHub as part of your normal workflow
• Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
• A real point of view on AI-assisted development for analytics work — what it's actually good at, where it falls down, what you do to make the output trustworthy
• History of building collaborative, trusting relationships with non-technical stakeholders
• Comfort presenting findings to leadership verbally, in writing, and visually
  
  

Preferred Additional Skills And Experience

Though not required, we would consider the following as an added plus:

• Working knowledge of Python and/or R for analysis
• Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
• Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
• Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
• Experience working in a small or solo data team where you owned the work end-to-end
  
  

THE FINE PRINT

• Must be able to work in a stationary position 50% - 75% of the work day
• Medical, Dental Vision plans
• Company Paid Long Term Disability
• Employee Assistance Programs
• 401k with Match
• Generous paid time off policies
• Gear test, perks and more
  
  

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

About Us

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can't improve on nature. It's good for mind, body and soul, and it's our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You'll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you're genuinely curious about how this part of the craft is evolving. As an early team member, you'll help shape how we work in this environment, not just execute someone else's playbook.

We're looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn't hesitate to sweep the floor (fix a broken Excel link), isn't afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

Your Responsibilities

• Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You'll own these end-to-end: scoping, building, validating, and communicating findings
• Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work
• Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day
• Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means
• Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you've collaborated on with AI agents, and you'll bring the data intuition that makes that work trustworthy
• Investigate ambiguous data questions where the answer isn't in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business
• Help build and maintain Stio's data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve
• Improve data governance for both the Data & Analytics team and the business at large by creating documentation that's actually useful and that AI agents can consume as context for future work
• Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side
  
  

Your Skills And Experience

• 3+ years of professional experience as a data analyst, analytics engineer, or similar role
• Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
• Hands-on experience with dbt, including writing models, tests, and documentation. You don't need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
• Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
• Version control with Git/GitHub as part of your normal workflow
• Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
• A real point of view on AI-assisted development for analytics work — what it's actually good at, where it falls down, what you do to make the output trustworthy
• History of building collaborative, trusting relationships with non-technical stakeholders
• Comfort presenting findings to leadership verbally, in writing, and visually
  
  

Preferred Additional Skills And Experience

Though not required, we would consider the following as an added plus:

• Working knowledge of Python and/or R for analysis
• Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
• Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
• Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
• Experience working in a small or solo data team where you owned the work end-to-end
  
  

THE FINE PRINT

• Must be able to work in a stationary position 50% - 75% of the work day
• Medical, Dental Vision plans
• Company Paid Long Term Disability
• Employee Assistance Programs
• 401k with Match
• Generous paid time off policies
• Gear test, perks and more
  
  

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage...

Job DescriptionMGID is a global native advertising platform that helps brands reach unique local audiences at scale. At MGID, we empower brands and publishers to collaborate transparently through our privacy-first...

Job DescriptionMGID is a global native advertising platform that helps brands reach unique local audiences at scale. At MGID, we empower brands and publishers to collaborate transparently through our privacy-first...