Product Analyst

We are looking for a BI Analyst to oversee day-to-day visualizations, data validation, and stakeholder reporting. This person ensures leadership has fast, accurate insights from our data warehouse without bottlenecks.

Requirements Position

Responsibilities: - 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

Basic

Qualifications: - 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 Preferred Skills: - Experience with Segment or similar CDP for event tracking pipelines - 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) - Understanding of experimentation frameworks and A/B testing methodologies - Basic familiarity with GitHub or version control for analytics workflows Benefits Salary Range: $90-130k + equity + benefits