Healthcare Data Analyst

Midi Health is the fastest-growing virtual clinic focused exclusively on women’s midlife health. The Healthcare Data Analyst will perform healthcare data analyses to support strategic decisions about company performance and collaborate with various internal departments to manage high-quality analyses of healthcare claims and health record data.

Responsibilities:

• 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
• Consults 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

Requirements:

• Bachelor's degree in computer science, data science, information science, business, or related field required
• 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
• Master's degree
• Health tech startup experience
• Exposure to digital therapeutics and new telehealth delivery systems
• Education and/or experience in women's health