Datavant is looking to solve complex healthcare challenges by leveraging data excellence, specifically in risk adjustment for Medicare Advantage, Medicaid, and ACA programs.
Requirements
- Proficiency in SQL, including advanced query development for analytic purposes.
- Experience with data modeling and analysis using Python, R, or similar languages.
- Deep understanding of risk adjustment models such as HCC, RxHCC, HHS-HCC, and CDPS.
- Hands-on experience with database technologies including Snowflake, Databricks, Oracle, or MS SQL Server.
- Proficiency with BI tools such as Power BI, Tableau, Looker, or Sigma for data visualization and reporting.
- Strong analytical skills with the ability to interpret large, complex datasets and identify trends.
- Knowledge of data privacy, security practices, and relevant healthcare legislation.
Responsibilities
- Own and develop scalable data workflows and analytics pipelines, utilizing tools such as SQL, dbt, Airflow, Snowflake, and Databricks.
- Analyze large datasets to identify trends, coding patterns, disease prevalence, and other insights to improve productivity and quality in risk adjustment processes.
- Provide on-demand real-time data insights through ad-hoc queries and develop reusable data products for broader stakeholder use.
- Support risk adjustment medical record coding, chart retrieval, and quality initiatives by aggregating and interpreting data from multiple sources.
- Design, develop, test, and deploy comprehensive reports and dashboards to meet business needs.
- Automate reporting processes where feasible to enhance scalability and efficiency across multiple clients and teams.
- Run risk adjustment models for Medicare Advantage, Medicaid, and ACA programs to forecast patient risk scores and assess ROI based on historical and projected data.
Other
- Minimum of 5+ years of experience in data analysis, with a strong focus on healthcare or risk adjustment domains.
- Excellent communication skills for presenting insights to both technical and non-technical audiences.
- Ability to work independently, prioritize tasks effectively, and manage multiple projects under tight deadlines.
- Knowledge of health plan operations, coding, HEDIS abstraction, and quality management.
- Mentor and support junior analysts, fostering a culture of continuous learning and development within the team.
