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ZOE

Senior Product Data Analyst

Posted 7 Hours Ago
Be an Early Applicant
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
The Senior Product Data Analyst will transform raw data into insights, build data workflows, and evaluate product metrics to drive strategic decisions.
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We Are Redefining How People Approach Their Health

ZOE is the science and nutrition company leading a movement to transform the health of millions.

We exist because the food we eat is making us sick. Most of what we are taught about food is wrong.

ZOE runs the world’s largest nutrition science study to find scientifically proven solutions.
Our randomised controlled trial of ZOE proves that if you eat the right food for your body, you can feel healthier in weeks and be on track for more healthy years.

ZOE can change the way you eat, feel, and live. We host world-leading scientists on our podcast and bring proven science to your plate with Daily30+, our 30+ plant supplement.

Over 100,000 people rely on ZOE Membership, our personalised nutrition program, to make smarter food choices. ZOE Membership turns complex science into clear step-by-step actions, helping you improve your health with every meal.

ZOE means life — and you can change your life with food.

Visit our career page and become a ZOEntist 🚀

🚀 The Role

As a Senior Product Data Analyst, you will be the analytical backbone of our product teams, transforming raw behavioural data into powerful insights that shape strategy, roadmap and user experience. You’ll take part in designing and building the end-to-end data workflow—from working with engineers to instrumenting events, modelling data in dbt, and delivering clear, compelling narratives that empower us to #ActFast on ~70 % evidence.  We believe that most decisions are reversible, so we value smart risks and rapid iteration.
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👥 The Team

At ZOE, we're on a mission to empower people with the most advanced science and technology to transform their health. Our Product Analytics team plays a central role in this mission, turning data into insights that shape product strategy and drive high-impact decisions. We collaborate with product managers, designers, engineers, and scientists to ensure that every feature we build improves the experience and outcomes for our members. By leveraging data and experimentation, we continuously refine our products to deliver meaningful value and measurable health improvements. The team is composed of four members with a mix of analytics engineering and data analysis skills, and we also work closely with data scientists.

🎯 What You’ll Be Doing

  • Design and iterate on core product metrics (user activation, retention, engagement, and monetisation), ensuring they are accurate, timely, and reliable
  • Build and maintain lightweight, test-covered ELT pipelines (Fivetran → BigQuery → dbt → Hex) that make clean data accessible to everyone
  • Prototype analyses in SQL/Python, starting with the simplest approach and layering complexity only when it materially sharpens the answer.
  • Partner with Product Managers to plan A/B tests, quantify opportunities, and identify friction points in the user journey.
  • Ship dashboards and ad-hoc decks that persuade—clarity and narrative first, visuals and stats in service of the story.
  • Champion a product-mindset culture: ask “so what?” on every query, translate findings into actionable next steps, and iterate quickly when the market proves us wrong.

🧠 What You’ll Bring to the Table

  • Have 5 + years of professional experience in data analytics. Hold a bachelor’s (or advanced) degree in a quantitative field, e.g., Stats, Maths, CS, Physics, Engineering, or Economics.
  • Enjoy tackling ****open-ended questions and finding elegant, unexpected solutions. You combine intellectual curiosity with a creative approach to problem-solving.
  • Are fluent in SQL and comfortable coding in Python; you’ve touched dbt or other data transformation tools, or you’re a quick learner.
  • Have handled real-world data messiness before (missing events, conflicting definitions) and know how to get to “good enough” without getting stuck.
  • Treat statistics as a power tool, not a party trick—confident with basic stats and able to recognise when fancier models are (or aren’t) worth it.
  • Thrive in an early-stage environment with high ownership, tight deadlines, and rapid iteration. You're comfortable with less process and enjoy seeing fast feedback loops.
  • Thrive in early-stage environments: little process, high ownership, tight deadlines, rapid iteration, and feedback loops measured in days.
  • Communicate crisply—whether writing a one-pager for leadership, debating trade-offs with engineers, or walking non-technical teammates through a funnel drop-off chart.
  • Live our #ActFast value—you’re happy to move on ~70 % evidence because speed beats perfection in a startup. You recognise most calls are reversible, avoid reinventing the wheel, take smart risks, and pivot quickly, knowing the team has your back.

✨ Our Hiring Journey

  • 👋 Talent Acquisition Screen – 30 to 45 mins
  • A friendly intro chat with our Talent team to learn about your background, skills, and what excites you about ZOE and this role. Feel free to ask any questions about the team, culture, or next steps.

  • 🧠 Hiring Manager Technical Screen – 45 mins
  • A deep dive with the hiring manager to discuss your experience working with data and analytics, the impact you’ve had, and how you solve complex problems with metrics and storytelling. Come ready to share examples and insights!

  • 💻 Live Technical Assessment – 90 mins
  • A hands-on session with a Data Scientist and Data Analyst where you’ll work through a real-world analytics challenge. We’ll explore your SQL and Python skills, problem-solving creativity, and ability to turn data into a compelling narrative.

  • 🤝 Cross-Functional Interview with Product Team – 45 mins
  • Join our product team to chat about how you partner with product managers, engineers, and designers. We’ll talk collaboration, experimentation (think A/B tests!), and how you turn data insights into actionable product improvements.

  • 💬 Final Values & Leadership Interview – 45 mins
  • A conversation with our Senior Data Science and Analytics Managers focusing on your leadership approach, communication style, and how you live our #ActFast value — embracing smart risks and rapid iteration in a fast-paced environment.

  • 🎉 Offer Stage
  • We move quickly and keep the process clear and supportive. If you’re the right fit, you’ll receive an offer along with a warm welcome and next steps to join the ZOE mission.

The experience, skills, and attributes listed above reflect what we believe will contribute to success in this role. If you're passionate about ZOE and the opportunity, but don't meet 100% of the criteria, we still encourage you to apply. We are committed to supporting growth and are happy to offer up-skilling opportunities where possible.

Remote Philosophy
ZOE is a remote-first company, meaning remote work isn’t just an option — it’s how we work best. We are intentional about building a distributed, high-performing team where collaboration, trust, and flexibility thrive.
We design our workflows around asynchronous communication and shared documentation to support autonomy, focus, and cross-timezone collaboration. While our teams work independently, connection and teamwork remain central to how we operate — through regular rituals, meaningful virtual interactions, and in-person gatherings every quarter. These include team offsites and a yearly company-wide retreat to build relationships, spark creativity, and have fun together.
Being remote-first also means we value outcomes over hours and trust our team members to manage their work in a way that suits their unique rhythm and responsibilities. This approach allows us to support a truly flexible work environment, while staying aligned with our mission and values.
At ZOE, working remotely doesn’t mean working alone — it means being empowered, supported, and connected, wherever you are.

Compensation Philosophy
We are committed to offering competitive and equitable compensation that reflects the value of each role and aligns with regional labor market standards. Our approach to compensation goes beyond just base salary — we offer a comprehensive package that includes base pay and stock options, ensuring that every team member is rewarded for their contributions to the company’s growth and success.
We believe that building a thriving team requires not only providing fair and competitive compensation but also fostering an environment where success is shared collectively. Our total compensation package is designed to support the well-being of our employees, recognise their individual contributions, and empower them to grow alongside ZOE.

Benefits & Perks
We understand the significant role our benefits play in motivating, inspiring and safeguarding our employees' well-being. Our benefits strategy is thoughtfully designed to echo our mission and values, recognising the diverse needs arising from different life stages of our ZOEntists.
Our approach to benefits takes an inclusive and flexible view of both personal and professional growth. From competitive health insurance and wellness packages to inclusive parental policies, building connection, and tailored professional development programs, we've got you covered.
At ZOE, we continue to build a benefits package that invests in our team members’ long-term personal and professional growth and wellbeing, adding to this list as it evolves.

Equal opportunities
We are committed to fostering a diverse and inclusive team where every individual can bring their authentic self to work. We believe that this is key to our success and are dedicated to positively impacting the tech industry. As part of our commitment to equal opportunities, we encourage candidates from underrepresented backgrounds to apply. We ensure a respectful and inclusive environment for all and do not discriminate on the basis of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, marital status, disability, or age. If you require any accommodations during the interview process, please feel free to inform us, and we will make every effort to support your needs.

Top Skills

BigQuery
Dbt
Fivetran
Hex
Python
SQL

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