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Healthcare Data Analyst
Midi HealthHealthcare Data Analyst performing healthcare data analyses for women’s midlife health solutions. Collaborating with various teams to support data-driven decision making and product development.
Posted 4/16/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $150,000 - $175,000 per yearWebsite
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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.
Benefits
Comp & perks- Competitive base salary
- Equity
- Benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data quality checksdata validationdata cleaninghealth economic analysesanalytical modelsRSQLPythonbudget impact analysespopulation health analytics
Soft Skills
communicationproject managementproblem-solvingcollaborationadaptability
Certifications
Bachelor's degreeMaster's degree