Senior/staff data analyst

Ph3About Future /h3 pAt Future, we believe that personal connection is the key to progress. Our mission is to make world‑class coaching accessible to everyone, helping people unlock their full potential through expert guidance, motivation, and accountability. As a digital personal training platform, we deliver highly personalized coaching, tailoring workout plans and support to each individual’s goals – all through a seamless app experience. /p pSince launching in 2017, Future has grown from a brainstorm in a San Francisco cafe into the nation’s largest provider of personal training sessions. In January 2025, Future announced its merger with Autograph, the company founded by 7x World Champion and entrepreneur Tom Brady. We’re poised for massive growth as we expand our brand, forge new partnerships with some of the world’s most iconic athletes, and harness AI to enhance and scale our coaching experience. /p pAs we continue to grow, we’re investing in cutting‑edge technology, deepening our roster of elite coaches, and building new partnerships. If you’re passionate about shaping the future of fitness, come join us – we’re just getting started. /p h3About the Role /h3 pWe’re hiring a Senior/Staff Data Analyst to define and lead the next phase of our analytics practice. You won’t be inheriting a dashboard library or a backlog of ad‑hoc requests. You’ll be building the data foundation from the ground up – shaping how we instrument our product, measure our business, and make decisions at every level of the company. /p pThis role requires someone who thinks in systems and works the full stack. You’ll move fluidly between data engineering, analysis, and stakeholder strategy – owning the end‑to‑end process rather than handing off between teams. /p h3What You’ll Own /h3 h3Analytics Strategy Vision /h3 ul liDefine how Future measures what matters – from product health to business performance to coaching outcomes. /li liBuild relationships with data consumers across the organization to develop a clear point of view on what our data products should do and how they should be designed. /li liOwn the analytics roadmap. Decide what to build, what to instrument, and what to prioritize – with conviction, not just consensus. /li liDevelop and maintain a strong perspective on how data and AI should power decision‑making as we scale. /li /ul h3Data Infrastructure Engineering /h3 ul liDesign and implement data transformation pipelines in dbt to create clean, reliable, and interpretable datasets. /li liPartner with the broader team to integrate and normalise data from 30+ disparate sources into a flexible, well‑documented data model. /li liBuild for scale – write code and structure systems that the next analyst can pick up and extend without heroics. /li /ul h3Analysis Insight /h3 ul liPerform strategic analyses on large, complex datasets and distil findings into clear, actionable recommendations for leadership. /li liAnalyze coaching outcomes, member engagement, and retention data to surface what drives lasting behaviour change – and feed those insights back into the product and coaching experience. /li liBuild dashboards, reports, and visualisations that surface the metrics that matter and help stakeholders make better decisions faster. /li liDefine success metrics for product and business initiatives. Instrument everything. Kill what isn’t working. /li /ul h3AI as a Force Multiplier /h3 ul liUse AI to accelerate data exploration, synthesis, and documentation – then apply your judgment to sharpen the output. /li liBring a perspective on how AI should be woven into our analytics practice itself – anomaly detection, automated reporting, intelligent alerting. /li liRaise the AI fluency bar for the team. Share what’s working. Push others to adopt. /li /ul h3Who You Are /h3 h3Experience Background /h3 ul li7+ years of experience as a data analyst, analytics engineer, or data scientist. /li liYou’ve built analytics practices at a startup or early‑stage company – you know what it means to instrument from scratch with limited resources and no established playbook. /li liDeep fluency in SQL. Comfortable reading and writing Python. /li li1+ years of hands‑on experience with dbt, Snowflake, or equivalent in real‑world production environments. /li liProven ability to own full‑stack analytics projects end‑to‑end: data engineering, analysis, dashboarding, and stakeholder reporting. /li liYou’ve operated at the Senior or Staff level – or functioned at that altitude regardless of title. /li /ul h3Domain Passion /h3 pYou are passionate about health, wellness, and the idea that personalized coaching can change people’s lives. You believe data is one of the most powerful levers for improving human performance and health outcomes, and you want to work somewhere that uses it that way. /p h3Working Style /h3 ul liStrong analytical instincts – you pull your own data, form hypotheses, and let evidence shape your decisions. /li liClear, precise communicator. You can translate complex findings into plain language for a non‑technical executive as easily as you can go deep with an engineer. /li liComfortable with ambiguity and pace. You don’t wait for perfect data or perfect requirements to move forward. /li liStrong project management skills – you can manage several workstreams at once without dropping the ball. /li liLow ego, high ownership. You do what needs to be done. /li /ul h3Nice to Have /h3 ul liExperience in health, wellness, consumer health, or marketplace businesses. /li liExperience building or scaling a data practice through rapid company growth. /li liExperience building AI‑native analytics tooling or workflows. /li liFamiliarity with product analytics platforms (Amplitude, Mixpanel, etc.) and experimentation frameworks. /li /ul h3Compensation Benefits /h3 pWe believe great people should be well paid and meaningfully invested in what they’re building. /p h3Base Salary /h3 p$180,000–$210,000 / year. The salary range is set based on multiple considerations including business needs, market demands, talent availability, experience, and unique skills and attributes. The base pay range is subject to change and may be modified in the future. /p h3Equity /h3 pMeaningful early‑stage equity package with standard 4‑year vesting and 1‑year cliff. /p h3Health Coverage /h3 pComprehensive medical, dental, and vision insurance, plus life and disability coverage. /p h3Retirement /h3 p401(k) plan with tax‑advantaged savings options. /p h3Remote‑First /h3 pWork from anywhere in the continental U.S. /p h3Home Office Support /h3 pStipend to set up your workspace and monthly support for internet or coworking. /p h3Wellness /h3 pMonthly wellness stipend plus access to mental health resources and therapy support. /p h3Flexible Time Off /h3 pFlexible PTO so you can rest, recharge, and take care of life outside of work. /p h3Learning Development /h3 pAnnual budget for courses, conferences, coaching, and tools that help you grow. /p pFuture is a diverse, passionate, and driven team. We welcome applicants of all backgrounds. /p /p #J-18808-Ljbffr