Note: The job is a remote job and is open to candidates in USA. Midi Health is the fastest-growing virtual clinic focused exclusively on women’s midlife health. They are seeking a Senior Data Analyst to own the data strategy for their commerce and fulfillment operations, analyzing prescription data and supplement data to optimize patient purchasing journeys and drive revenue while maintaining clinical integrity.

Responsibilities

• 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 (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

Skills

• 4+ years of data analytics experience, ideally in an e-commerce, digital health, or D2C subscription environment
• 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)
• Strong understanding of e-commerce metrics (Conversion Rate, AOV, LTV, CAC, Churn, Subscribe & Save mechanics) and supply chain/fulfillment SLAs
• 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
• 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
• Candidates must be authorized to work in the U.S. without current or future sponsorship needs
• 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

Benefits

• Equity
• Benefits

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