Build and maintain product analytics dashboards, funnels, cohort and retention analyses. Validate event tracking and warehouse data, analyze user behavior, identify lifecycle friction, support experimentation, and deliver actionable insights to Product, Growth, Data, and leadership teams. Maintain metric definitions, event documentation, and self-service reporting across health and prescription product lines.
Death is our only foe.
Immortals was founded by Bryan Johnson and Kate Tolo to build a new standard for human health and longevity.
We’re building Autonomous Health: a system that uses measurement, scientific evidence, and personalization to help people understand their bodies and make better decisions about their health. What began with Bryan becoming the most measured person in history is becoming a platform for everyone.
Immortals brings together biomarkers, longevity medicine, nutrition, prescriptions, wearables, and personalized protocols in one place, turning health data into clear, actionable decisions.
We’re a small, ambitious team building what we believe will become the new operating system for human health. We move quickly, think from first principles, care deeply about the quality of our work, and hold ourselves to an unusually high standard.
Our mission is simple: help billions of people live healthier lives for longer, and ultimately, Don’t Die.
We are looking for a Product 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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