Senior Data Analyst

📍 Palo Alto, CA (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'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.

What You'll Do:

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

What You Bring:

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 Capabilities

• Business acumen : Natural curiosity about how businesses operate and what drives performance


• Problem structuring : Ability to take vague questions and break them down into answerable analytical components


• Pattern recognition : Skilled at identifying trends, anomalies, and causal relationships in data


• Quantitative rigor : Attention to detail and commitment to analytical accuracy


• Impact-oriented thinking : Focus on insights that drive decisions, not just interesting findings

Ownership & Collaboration

• KPI ownership : Experience defining, tracking, and owning key metrics with accountability for accuracy and actionability


• Stakeholder management : Proven ability to build trust with cross-functional partners and manage competing priorities


• Self-direction : Comfortable with ambiguity and able to scope and execute projects independently


• Communication excellence : Clear written and verbal communication tailored to audience, from technical peers to executives


• Collaborative mindset : Genuine enjoyment of working across teams and functions to drive collective success

Experience:

• 4-6 years of experience in analytics roles (business analytics, product analytics, or related fields)


• Background in high-growth startups, tech companies, or healthcare is a plus


• Experience supporting both operational and product teams is preferred


• Demonstrated progression in scope and impact across previous roles

What Makes This Role Special:

• Dual impact : Shape both day-to-day operations and long-term product strategy


• High visibility : Your analyses will directly inform leadership decisions


• Collaborative environment : Work closely with talented data scientists, product managers, and business leaders


• Ownership : Be the go-to person for critical metrics and analyses that matter


• Diverse problems : Every week brings different analytical challenges across the business


• Learning opportunity : Gain exposure to both business operations and product development

What Success Looks Like:

• Stakeholders trust your analyses and actively seek your input on decisions


• KPIs you own are clearly defined, accurately measured, and well-understood across the organization


• Your insights lead to measurable improvements in operations or product outcomes


• Product experiments you design produce clear, actionable learnings


• You proactively identify opportunities before stakeholders ask the question


• Cross-functional partners view you as an essential collaborator

Interview Process:

Recruiter Screen- 30-45 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 for this role 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 🎥

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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 [email protected] .

Midi Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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