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Midi Health

Healthcare Data Analyst

Midi Health

Healthcare 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 & technologies
CloudPythonSQL

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

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Applicant Tracking System Keywords

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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