Senior Data Analyst

📍 Palo Alto, CA (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're looking for a Data Analyst who thrives at the intersection of product development and business operations. In this role, you'll be the analytical backbone for critical business decisions while partnering with product teams to measure, experiment, and optimize our platform. You'll own key performance indicators end-to-end—from definition and measurement to insight generation and stakeholder communication—ensuring our teams have the data they need to make confident decisions.

This role requires someone who can seamlessly shift between deep-dive operational analysis and product experimentation, translating complex data into clear narratives that drive action. You'll collaborate extensively across functions—partnering with operations leaders on capacity planning, with product managers on feature prioritization, and with cross-functional teams to understand the complete patient and provider journey.

Business Analytics & Operational Insights

• Own and monitor core business KPIs related to provider capacity, utilization, and productivity
• Conduct root cause analysis on operational challenges including wait times, geographic and network coverage gaps, and capacity constraints
• Analyze provider performance patterns across different cohorts (tenure, employment type, specialties) to identify optimization opportunities
• Evaluate operational processes and their impact on key outcomes such as patient retention, provider efficiency, and revenue generation
• Build dashboards and reporting infrastructure that enable stakeholders to self-serve and monitor business health
• Synthesize qualitative feedback (patient reviews, satisfaction surveys) with quantitative metrics to provide holistic performance views

Product Analytics & Experimentation

• Design, analyze, and communicate results from A/B tests and product experiments
• Measure feature adoption, usage patterns, and downstream impact on user behavior and business outcomes
• Conduct impact sizing analysis to help product teams prioritize roadmap initiatives
• Build conversion funnels and identify friction points in user journeys
• Track product health metrics and flag anomalies or opportunities for improvement
• Partner with product managers to define success metrics for new features and initiatives

Cross-Functional Partnership & Communication

• Act as a trusted analytical partner to business and product leaders, translating ambiguous questions into structured analyses
• Present findings and recommendations to stakeholders at all levels, from individual contributors to executives
• Collaborate with data scientists and analysts on larger analytical initiatives
• Work across teams to ensure consistent metric definitions and shared understanding of performance
• Proactively surface insights and opportunities based on data patterns you observe

Technical Skills

• SQL mastery
  :
  Complex queries, data modeling, and the ability to navigate large datasets efficiently
• Data visualization
  :
  Proficiency in creating clear, actionable dashboards and reports (Looker, Tableau, Mode, or similar)
• Spreadsheet expertise
  :
  Advanced Excel/Google Sheets skills for ad-hoc analysis and modeling
• Statistical foundation
  :
  Understanding of A/B testing, statistical significance, confidence intervals, and common pitfalls
• Analytics tools
  :
  Experience with product analytics platforms (Amplitude, Mixpanel, or similar) is a plus
• Python/R knowledge
  :
  Basic scripting ability is preferred but not required

Analytical…