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

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.

Healthcare Data Analyst

Key skills