Right now we are looking for a talented Senior Product Analyst who enjoys exploring product metrics, uncovering insights, and helping drive growth through analytical thinking.
If you like building from scratch, owning things end-to-end, and don’t need anyone hovering over you about what to look at next, you’ll probably feel at home here.
What you’d actually do:
- Own our key metrics (conversion, LTV, CAC, payback, refund rate) and make sure they’re defined and calculated in a way everyone trusts
- Run A/B tests end-to-end, from hypothesis to “here’s what we should do about it”
- Build a LTV model using early signals and sensible assumptions
- Dig into pricing experiments — help us understand the trade-offs between conversion, price, and long-term value
- Analyze our web onboarding funnel and tell us where the biggest wins are hiding
- Find non-obvious growth levers that move us toward sustainable unit economics
- Lean on AI tools (Claude, Cursor, Copilot — whatever works for you) to move faster
What we hope you bring:
- Proficient with SQL – joins, window functions, CTEs without breaking a sweat
- Python for analysis and light automation
- Some experience with ETL / pipelines (Airflow, dbt)
- Worked with a BI tool before (Looker, Superset, Tableau, Power BI)
- Understand subscription unit economics: CAC, LTV, payback, contribution margin
- Solid grasp of A/B testing — proper design, sample sizes, and reading results honestly (especially in low-volume settings)
- Proactive, comfortable in ambiguity, happy to own outcomes
Bonus points:
- You already use AI tools in your day-to-day analytics work
- Background in health, pharma, or digital health
- Familiar with HIPAA / GDPR and what you can and can’t track in health data
- Web onboarding funnel / paywall optimization experience
Perks and benefits:
- Competitive salary package commensurate with experience;
- Remote, in-office, and hybrid work opportunities;
- The equipment you need to do your job;
- A premium SIMPLE subscription;
- 21 days annual leave, plus bank holidays (those observed where you live);
- Flexible hours. We focus on your results, not how long you spend at your desk.
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