Build and maintain product analytics dashboards, validate and QA event tracking, translate event data into analytics-ready datasets, run funnels/cohorts/retention analyses, support A/B testing, and surface actionable product insights to Product, Growth, and Data stakeholders.
Death is our only foe.
Blueprint was founded by Bryan Johnson, who has the world’s best comprehensive biomarkers. He is quantitatively the healthiest person on the planet.
Blueprint is methodically built on science. Bryan freely shares his protocol, learnings and data with everyone to use. Blueprint has also developed a family of nutritional products to make the benefits of the Blueprint protocol affordable and available to all.
We’re a small, tight-knit team working to clean up the global food supply, provide healthy food to everyone, and build Don’t Die into the most influential ideology in the world. We move quickly, work efficiently, and enjoy an environment defined by competence.
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
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