About
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
https://www.youtube.com/watch?v=1px7i6MVjNg
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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
careers@joinmidi.com .
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.
Please find our CCPA Privacy Notice for California Candidates here.
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Languages
- English
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