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 collaborates 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 engages with technical staff and laypersons, while balancing study rigor, time efficiency, and pragmatic application of study results for product development and commercial purposes.
The ideal candidate will have training and practical experience in healthcare analytics, healthcare economics, health service research, and/or health policy research and a couple of years of work experience at a health plan, health system or healthcare vendor. Health tech startup experience is a plus, but not a must. We are looking for an individual who can see the “big picture” but can roll up their sleeves to continuously improve every detail of clinical and health economic research studies.
Job Overview
- Job Types: Part-time, Full-time
- Work Setting: Work from home
- Location: Remote
- Salary: Competitive Compensation
- Employer: Midi Health
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 & 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.
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