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

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.

Senior Product Analyst

Key skills