⚡ New

Senior Product Analyst, Growth

Midi

Palo AltoFull-timeMid LevelOn-site

Job Description

Hybrid, Palo Alto (Hybrid – 2 days/week in office). Reports to: Director Data Science + Analytics. About Midi Health Midi Health is the fastest-growing virtual clinic focused exclusively on women’s midlife health.

We deliver insurance-covered care for women navigating perimenopause, menopause, and other hormone-related health challenges. Our care model combines clinical expertise with technology to improve access, outcomes, and quality of life for millions of women. We’ve raised backing from top-tier investors and are scaling rapidly, now caring for hundreds of thousands of patients across the U.S.

If you’re energized by building in a fast-growth, mission-driven environment, we’d love to meet you! About the Role We are looking for a Senior Product Analyst to partner with our Product, Engineering, and Design teams. You will be the data-driven voice in the room, ensuring that every feature we build is grounded in evidence and every experiment we run yields actionable learning.

In this role, you will own the feedback loop between our users and our product roadmap. You won’t just measure what happened; you will uncover why it happened and help define what we should build next for growth and retention opportunities. You will champion a culture of experimentation and rigorous impact measurement.

What You’ll Do Product Strategy & Discovery User Journey Mapping: Use data to reconstruct the user experience, identifying friction points in conversion funnels and aha moments for retention. Deep-Dive Analysis: Perform exploratory analysis to understand user segmentation, feature usage patterns, and retention drivers. Funnel Insights Bridge the Gap: Evaluate funnel step conversion and their impact on patient growth and retention, and collaborate with the product team on feature requirements and prioritization based on these findings.

Opportunity Sizing: Partner with Product Managers during the ideation phase to estimate the potential impact of roadmap initiatives using historical data. Experimentation & Measurement A/B Testing Lead: Own the experimentation framework. Design test plans, calculate sample sizes, define success metrics, and analyze results for statistical significance.

Feature Launches: Define and track success metrics for new features, conducting post-mortem analyses to iterate on product strategy. Instrumentation: Maintain data integrity by defining tracking plans and working with engineering to ensure analytics are implemented correctly. Cross-Functional Partnership Embed directly within the product and engineering organization to help prioritize the roadmap based on quantitative evidence.

Democratize data access by training PMs and Designers on how to use product analytics tools. What You Bring Technical Skills SQL Mastery: Advanced ability to query large datasets and manipulate complex event streams. Data Modeling & ETL: Experience with data modeling and dbt to transform raw event data into clean, analysis-ready models.

Product Analytics Tools: Deep expertise in event-based analytics platforms such as Amplitude or Mixpanel. Statistical Foundation: Strong grasp of statistics required for experimentation, including hypothesis testing, confidence intervals, power analysis, and quasi-experimental designs. Visualization & Storytelling: Proficiency in BI tools to build automated, self-serve dashboards for stakeholders.

Python: Preferred proficiency in a scripting language for advanced statistical analysis or data manipulation. Analytical Capabilities User Empathy: Translate data points into a narrative about human behavior. Growth Mindset: Understand attribution modeling and incrementality testing to measure the true impact of growth initiatives.

User Engagement Focus: Partner with lifecycle and marketing teams to optimize patient re-engagement. Metric Design: Define and measure meaningful metrics that drive business value. Scientific Rigor: Act as guardian of statistical accuracy, ensuring decisions are based on sound data.

Experience 4-6 years in Product Analytics or Data Science. Experience working with Product Managers and Engineers on growth and retention initiatives. Experience designing and analyzing A/B tests at scale.

Experience in high-growth startups, marketplaces, or healthcare operations is highly preferred. Bonus: Good understanding of HIPAA compliance and data privacy best practices when handling PHI. Benefits We offer a competitive base salary, equity, and benefits.

Salary range: 150-175K. Equal Opportunity Employer Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. #J-18808-Ljbffr

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