Product Analyst

Role Description

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.

• 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

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

Salary Range

$90-130k + equity + benefits