[Hiring] Senior Data Analyst @Future

Role Description

We're hiring a Senior or Staff Data Analyst to define and lead the next phase of our analytics practice. This is not a reporting role. 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.

This 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.

What You'll Own

• Analytics Strategy & Vision
  • Define how Future measures what matters — from product health to business performance to coaching outcomes.
  • Build 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.
  • Own the analytics roadmap. Decide what to build, what to instrument, and what to prioritize — with conviction, not just consensus.
  • Develop and maintain a strong perspective on how data and AI should power decision-making as we scale.
• Data Infrastructure & Engineering
  • Design and implement data transformation pipelines in dbt to create clean, reliable, and interpretable datasets.
  • Partner with the broader team to integrate and normalize data from 30+ disparate sources into a flexible, well-documented data model.
  • Build for scale — write code and structure systems that the next analyst can pick up and extend without heroics.
• Analysis & Insight
  • Perform strategic analyses on large, complex datasets and distill findings into clear, actionable recommendations for leadership.
  • Analyze coaching outcomes, member engagement, and retention data to surface what drives lasting behavior change — and feed those insights back into the product and coaching experience.
  • Build dashboards, reports, and visualizations that surface the metrics that matter and help stakeholders make better decisions faster.
  • Define success metrics for product and business initiatives. Instrument everything. Kill what isn't working.
• AI as a Force Multiplier
  • Use AI to accelerate data exploration, synthesis, and documentation — then apply your judgment to sharpen the output.
  • Bring a perspective on how AI should be woven into our analytics practice itself — anomaly detection, automated reporting, intelligent alerting.
  • Raise the AI fluency bar for the team. Share what's working. Push others to adopt.

Qualifications

• 7+ years of experience as a data analyst, analytics engineer, or data scientist.
• Experience building analytics practices at a startup or early-stage company.
• Deep fluency in SQL. Comfortable reading and writing Python.
• 1+ years of hands-on experience with dbt, Snowflake, or equivalent in real-world production environments.
• Proven ability to own full-stack analytics projects end-to-end.
• Experience operating at the Senior or Staff level.

Domain Passion

• Passionate about health, wellness, and personalized coaching.
• Believes data is a powerful lever for improving human performance and health outcomes.

Working Style

• Strong analytical instincts — you pull your own data, form hypotheses, and let evidence shape your decisions.
• Clear, precise communicator.
• Comfortable with ambiguity and pace.
• Strong project management skills.
• Low ego, high ownership.

Nice to Have

• Experience in health, wellness, consumer health, or marketplace businesses.
• Experience building or scaling a data practice through rapid company growth.
• Experience building AI-native analytics tooling or workflows.
• Familiarity with product analytics platforms (Amplitude, Mixpanel, etc.) and experimentation frameworks.

Compensation & Benefits

• Base Salary: $180,000– $195,000 / year.
• Equity: Meaningful early-stage equity package with standard 4-year vesting and 1-year cliff.
• Health Coverage: Comprehensive medical, dental, and vision insurance, plus life and disability coverage.
• Retirement: 401(k) plan with tax-advantaged savings options.
• Remote-First: Work from anywhere in the continental U.S.
• Home Office Support: Stipend to set up your workspace and monthly support for internet or coworking.
• Wellness: Monthly wellness stipend plus access to mental health resources and therapy support.
• Flexible Time Off: Flexible PTO.
• Learning & Development: Annual budget for courses, conferences, coaching, and tools.