Data Analyst, Growth

Hybrid, Palo Alto (Hybrid - 2 days/week in office)
Reports to: Director Data Science + Analytics

About the Role

Join Midi Health as a Growth Analyst. As we scale our D2C and B2B segments (partnering with health systems and employers) and deepen our analytical capabilities across marketing channels, we need a data-driven analyst to grow alongside us. In this role, you will play a critical part in developing actionable dashboards and uncovering insights to drive user conversion. If you love data visualization, story telling, and diving deep into funnel analytics to drive business impact, this is the perfect opportunity to accelerate your career.
What You'll Do

• Dashboarding & Reporting: Develop, iterate, and maintain comprehensive reports and automated dashboards using our visualization platforms to track KPIs and keep cross-functional stakeholders informed.
• Funnel & Conversion Analysis: Analyze the end-to-end user journey.
• B2B Growth Support: Partner with the growth and commercial teams to track performance and scale our B2B initiatives across health system and employer partnerships.
• Lifecycle Marketing Support: Support the lifecycle marketing team by tracking engagement metrics, user re-engagement campaigns, and email/SMS performance.
• Grow & Own: Work closely with your mentor to upskill, refine your analytical frameworks, and eventually transition into a senior role owning specific growth and marketing analytics domains.

What You Bring

• Passion for Women's Health Tech: A genuine interest in Midi's mission to close the gap in midlife care and improve healthcare outcomes for women.
• Experience: 2-4 years of experience in data analytics, marketing analytics, growth, or a related field.
• Technical Skills: Proficiency in SQL and data visualization/BI tools (e.g., QuickSight, Tableau, Looker). Strong hands-on experience with event-based analytics platforms (e.g., Amplitude, Mixpanel) and Ad Platform dashboards (Meta, Google, etc.).
• Analytical Capabilities: Ability to analyze conversion funnels and translate complex data points into a clear narrative. Strong attention to detail in reporting and maintaining data integrity.
• AI Adoption & Tech Fluency: Comfortable integrating generative AI tools (like Claude) and modern platform AI agents into your daily data workflows to write code faster, troubleshoot tracking schemas, and scale analytics output.
• Experimentation: Heavy statistical experimentation experience is not required. A basic understanding of straightforward A/B testing is sufficient, and you will learn as you go.
• Growth Mindset: You are eager to learn, highly collaborative, and excited to be mentored by senior team members while building the foundation to become a domain owner.

Interview Process:

Recruiter Screen- 30 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 base salary is 120,000-140,000 and will depend on experience.Midi pays a competitive base salary, plus equity and benefits.


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At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs.

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 View email address on click.appcast.io .

Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant's salary history.

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