Build and maintain product analytics dashboards and reporting across key user journeys (onboarding, activation, conversion, retention)
Analyze event-level data to understand user behavior across Biomarkers and RX product lines
Define, QA, and monitor event tracking in partnership with engineering (via tools like Mixpanel / Amplitude)
Translate raw event data into clean, analytics-ready datasets in Snowflake
Build and maintain product funnels, cohort analyses, and retention reporting
Identify drop-offs, friction points, and opportunities across the user lifecycle
Surface actionable insights on product performance, engagement, and conversion drivers
Work directly with Product, Growth, and Data teams to align on metrics definitions and tracking standards
Support A/B testing and product experimentation by measuring feature impact
Build clean, self-service dashboards (in Sigma or similar tools like Tableau, Looker, Power BI)
Document event definitions, data sources, and logic to ensure consistency as data models evolve

3–5 years hands-on SQL experience working with large, event-level datasets
Strong experience with product analytics tools such as Mixpanel and/or Amplitude
Experience analyzing product funnels, user cohorts, and retention metrics
Comfortable working with event schemas (event names, user properties, timestamps, sessionization)
Experience with Snowflake, BigQuery, or similar cloud data warehouse
Capable of validating event data across tools (e.g., product analytics platform vs warehouse)
Strong understanding of product KPIs (conversion rates, retention, engagement, churn)
Experience building dashboards in Sigma or similar BI tools
Strong attention to detail in data quality, tracking accuracy, and metric definitions
Experience with Segment or similar CDP for event tracking pipelines (preferred)
Familiarity with dbt (not required to build models; just to read/test)
Experience working with subscription products or health-tech data (e.g., testing platforms, prescription flows) (preferred)
Understanding of experimentation frameworks and A/B testing methodologies (preferred)
Basic familiarity with GitHub or version control for analytics workflows (preferred)

Product Analyst

Key skills