Midi Health
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Senior Product Analyst, Growth
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📍 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 (patient) 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. You will 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 (events/properties) and working with engineering to ensure analytics are implemented correctly.
Cross-Functional Partnership
- Embed directly within the product and eng org 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 (Amplitude, Mixpanel, etc.).
- Statistical Foundation: Strong grasp of statistics required for experimentation (hypothesis testing, p-values, confidence intervals, power analysis). Experience going beyond correlation to establish causality using quasi-experimental designs (e.g., Difference-in-Differences, Regression Discontinuity, or Propensity Score Matching) when standard A/B testing is not feasible.
- Visualization & Storytelling: Proficiency in BI tools (e.g., Tableau, Looker, or Sigma) to build automated, self-serve dashboards for stakeholders.
- Python: Proficiency in a scripting language for advanced statistical analysis or data manipulation is preferred.
Analytical Capabilities
- User Empathy: You can translate data points into a narrative about human behavior.
- Growth Mindset: You understand attribution modeling and incrementality testing to measure the true impact of growth initiatives.
- User Engagement Focus: Partner with Lifecycle/Marketing teams to optimize patient re-engagement via email, SMS, etc.
- Metric Design: You know the difference between a vanity metric and a metric that drives business value, and have experience in defining and measuring 'meaningful' retention (e.g., clinical adherence or long-term health outcomes) rather than just session frequency.
- Scientific Rigor: You are the guardian of statistical accuracy, ensuring we don't make decisions based on noise.
Experience
- 4-6 years in Product Analytics or Data Science.
- Experience working with Product Managers and Engineers on growth/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 Protected Health Information (PHI).
Interview Process:
Recruiter Screen- 30 mins
Hiring Manager Screen- 45 mins
Technical Screen- 1hr
Panel Interviews- 2-3 hours + Lunch in Office in Palo Alto
At this time, Midi is unable to provide visa sponsorship. Candidates must be authorized to work in the U.S. without current or future sponsorship needs.
The Salary range base salary is 150-175K and will depend on experience.Midi pays a competitive base salary, plus equity and benefits.
While you’re waiting for us to review your portfolio, here’s some fun content to check out 🎥
https://www.youtube.com/watch?v=1px7i6MVjNg
#LI-PS1
At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs.
Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com.
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. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.
Please find our CCPA Privacy Notice for California Candidates here.
Ready to apply?
Apply to Midi Health
Senior Data Analyst - Commerce
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📍 Hybrid, Palo Alto OR San Francisco (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 highly analytical and highly collaborative Senior Data Analyst to own the data strategy for our commerce and fulfillment operations. In this role, you will navigate a dual-platform environment—analyzing prescription data on our custom internal system alongside supplement data from our Shopify storefront.
You will be the vital bridge between our data, operations, marketing, and product teams. If you are passionate about tracking complex customer journeys, optimizing e-commerce funnels, and driving revenue while strictly maintaining clinical integrity, this is the role for you.
What You'll Do
Commerce & Funnel Analytics
- Analyze Dual-Platform Funnels: Track and optimize the end-to-end patient purchasing journey across our internal Rx platform (Clinician Prescription → Patient Notification→ Add to Cart → Purchase) and our Shopify storefront (supplements purchase and "Subscribe & Save" metrics).
- Drive Renewals & Retention: Build reporting to track Rx medication refills and Shopify supplement subscriptions. Analyze the funnel for patients requiring clinical follow-up visits prior to Rx renewal to ensure a frictionless patient experience.
- Optimize Revenue & Margins: Analyze product margins across different business lines (Rx, supplements, and other potential products). Track Average Order Value (AOV) and identify data-driven opportunities for cross-selling and up-selling—ensuring all commerce recommendations strictly adhere to clinical protocols, patient safety standards, and care guidelines.
Cross-Functional Collaboration
- Partner with Data Science: Collaborate closely with our Data Scientists to help build and refine Lifetime Value (LTV) models across different patient cohorts and product lines.
- Support Lifecycle Marketing: Analyze the impact of patient notifications, marketing campaigns, and transactional communications on purchasing behavior and conversion rates.
- Enable Store Operations: Work with the fulfillment team to track nationwide pharmacy and store metrics. Create reporting around Turnaround Time (TAT), notification SLAs, and order defect / refund rates.
- Advise Business Operations (BizOps): Provide actionable insights to the BizOps team aimed at improving patient engagement, specifically focusing on strategies to increase initial fill rates and recurring refill rates.
- Inform Product Strategy: Identify drop-offs, bottlenecks, and gaps in the user journey. Collaborate with the Product team to recommend features and UX improvements that remove friction from the checkout and renewal processes.
What You Bring
- Experience: 4+ years of data analytics experience, ideally in an e-commerce, digital health, or D2C subscription environment.
- Technical Skills:
- Expert-level SQL.
- Proficiency with BI and data visualization tools (e.g., Tableau, Looker, Metabase).
- Experience joining data from disparate sources (e.g., Postgres/MySQL databases and third-party APIs like Shopify).
- Domain Knowledge: Strong understanding of e-commerce metrics (Conversion Rate, AOV, LTV, CAC, Churn, Subscribe & Save mechanics) and supply chain/fulfillment SLAs.
- Analytical Mindset: Ability to translate complex data into actionable business insights. You don't just pull numbers; you tell the story behind them and recommend the next move.
- Communication: Exceptional stakeholder management skills, with a proven track record of effectively supporting diverse teams (Product, Marketing, Ops, BizOps) and presenting findings to non-technical leaders.
Bonus Points
- Previous experience with Shopify analytics and ecosystem.
- Familiarity with healthcare data, EMRs, or pharmacy fulfillment systems.
- Experience in A/B testing and experimentation design for product features.
Interview Process:
Recruiter Screen- 30 mins
Hiring Manager Screen- 45 mins
Technical Screen- 1hr
Panel Interviews- 2-3 hours + Lunch in Office in Palo Alto
At this time, Midi is unable to provide visa sponsorship. Candidates must be authorized to work in the U.S. without current or future sponsorship needs.
The Salary range base salary is 150-175K and will depend on experience.Midi pays a competitive base salary, plus equity and benefits.
While you’re waiting for us to review your portfolio, here’s some fun content to check out 🎥
https://www.youtube.com/watch?v=1px7i6MVjNg
#LI-PS1
At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs.
Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com.
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. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.
Please find our CCPA Privacy Notice for California Candidates here.
Ready to apply?
Apply to Midi Health