Healthcare Data Analyst

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Midi Health

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51 - 200 employés

Découvrez Midi : La seule plateforme de soins virtuels dédiée à la santé féminine à la mi-vie. Nos soins sont conçus par des experts de renommée mondiale en périménopause, ménopause, et plus encore. Tout ce que nous faisons sert notre mission : aider les femmes à se sentir fortes et en bonne santé durant une étape cruciale de leur vie et de leur carrière.

Description

• 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

🎯 Exigences

• 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.

🏖️ Avantages

• Competitive base salary • Equity • Benefits