Product Analyst
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Job Description
BI Analyst overseeing day-to-day visualizations and stakeholder reporting at Blueprint. Ensuring leadership has fast, accurate insights from data warehouse without bottlenecks.
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
Requirements:
- 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)
Benefits:
- Salary Range: $90-130k + equity + benefits
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