[Hiring] Healthcare Data Analyst @Midi Health

Role Description

The Healthcare Data Analyst will perform a variety of healthcare data analyses to demonstrate the impact of programs/products on member, clinician, and payer outcomes, and supports strategic decisions about company performance, growth, and sustainability. You will work in tandem with the Research Director and collaborate with internal departments (e.g., data science, clinical operations, health plan partnerships, marketing teams) to design, conduct, and manage high-quality, rigorous analyses of healthcare claims and health record data. You will communicate clearly in presentations, reports, and articles about analytic methods and results and easily engage with technical staff and laypersons, while balancing study rigor, time efficiency, and pragmatic application of study results for product development and commercial purposes.

What You'll Do

• Process/prepare healthcare data for analyses: perform data quality checks, validation, and cleaning to ensure claims data integrity and consistency.
• Execute a high volume of clinical and health economic analyses.
• Support clinical and commercial leaders to deliver results and answer technical questions.
• Transform data and analytic results into actionable insights for a variety of business needs.
• Consult with internal decision makers to understand metric/KPI/reporting requirements and convert them into analytical solutions.
• Rapidly prototype new analytical models to help leaders explore various scenarios.
• Become an SME of healthcare clinical and claims data.
• Share responsibility to mature the data platform and its processes to improve efficiency and productivity.

Qualifications

• Bachelor's degree in computer science, data science, information science, business, or related field required; Master's degree preferred.
• Healthcare data experience is required.
• Proficient in working with large commercial, Medicare, or Medicaid claims databases.
• Working knowledge of medical claims, billing practices, and health insurance requirements.
• Experience in conducting budget impact analyses to address health care cost questions.
• Experience with population health analytics.
• Ability to support several projects from start to finish within prescribed timelines, ensuring success criteria are met.
• Fluent skills in R, SQL, Python, including use of AI statistical and analytical coding tools. Experience with Snowflake, Databricks, or similar cloud databases.
• Ability to learn new skills and tools as data infrastructure evolves.
• Works effectively with commercial, data science, data engineering, and research teams on acquiring/ingesting data, data cleaning, analyzing data, and communicating results.
• Has a bias for purposeful action and finds creative ways around problems.

Bonus Points

• Exposure to digital therapeutics and new telehealth delivery systems.
• Education and/or experience in women’s health.

Interview Process

• Recruiter Screen - 30 mins
• Hiring Manager Screen - 45 mins
• Technical Screen - 1hr
• Panel Interviews - 2-3 hours

Salary and Benefits

The Salary range base salary is 150-175K and will depend on experience. Midi pays a competitive base salary, plus equity and benefits.

Company Description

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.