Senior Data Analyst, Midi Health
+ Equity
More information about location
2 days a week in office (Palo Alto, CA)
Women’s midlife virtual healthcare clinic
Be an early applicant
Women’s midlife virtual healthcare clinic
201-500 employees
Be an early applicant
+ Equity
More information about location
2 days a week in office (Palo Alto, CA)
201-500 employees
Company mission
To bring compassionate, high-quality medical care to women 35+.
Role
Who you are
- 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
- 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
- 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
- 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 the job involves
- Reports to: Director Data Science + Analytics
- 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
- 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
- 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
- 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
- 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
Application 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
Our take
Women’s health is widely known to be an under-researched and undervalued sector of the global health market. There is considerable opportunity for companies and researchers to delve deeper. Focusing on menopause specifically is Midi Health, founded in 2021.
The female founders built an offering from telehealth visits and at-home testing to supplement delivery. The company really looks to support women through a trying phase, tailoring to individual needs rather than the age-old issue that the main healthcare system falls privy to of grouping all women in one.
A huge win for the company is that the program is supported by major insurance plans across 12 states in America - creating accessibility for the majority. With a large dose of funding, Midi Health continues to scale and expand its services to more states.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Oct 2025
$50m
SERIES C
Apr 2024
$60m
SERIES B
Total funding: $162.9m
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Joanna Strober
(Co-Founder & CEO)Previously Founder and COO of Kurbo Health (acquired by WW in 2018), where they later became SVP. Co-author of Getting to 50/50.
Sharon Meers
(Co-Founder & COO)Co-founder and Advisor for The People. Previously, worked at Ebay first as Head of Sales and Business Development, and then as Head of Strategic Partnerships. Also Director of Capital Group | American Funds.
Jill Herzig
(Co-founder & Chief Branding Officer)A vast background in editing within the magazine industry. Went on to become Content Officer for January AI and Senior Director, Content Innovation at WW (formerly Weight Watchers).
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