Senior Commerce Analyst

Hybrid, Palo Alto OR San Francisco (Hybrid – 2 days/week in office)

Reports to:

Director Data Science + Analytics

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!

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.

• 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.

• 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 (Biz Ops): Provide actionable insights to the Biz Ops 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.

• 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, Biz Ops) and presenting findings to non-technical…