Key Responsibilities:

• Write SQL and R Code: Perform common data cleaning and transformation tasks in order to understand data, detect and address data quality issues, and build analysis-ready data sets. Develop efficient project code and programming techniques and automate processes to build the department’s codebase and capacity for effectively working with large and/or messy datasets.
• Develop Data Expertise: Develop deep knowledge of diverse data sources, including Medicaid claims, HRSN screening/assessment/referral data, quality measures, provider networks, vital statistics, and population-level survey data. Use this knowledge to contribute to team plans and code for checking and understanding data and defining measures and metrics.
• Implement Data Governance Policies: Write code and project documentation, conduct code reviews, implement version control practices, and other tasks to ensure the accuracy of results
• Create Quality Improvement Metrics: Write SQL code to aggregate and analyze data within analytic frameworks to assess healthcare quality, equity outcomes, and disparities in physical, behavioral, and HRSN service delivery.
• Data Visualization & Communication: Create Tableau dashboards and detailed narratives, ensuring data is presented effectively for various audiences, including internal teams, key stakeholders, and the public.

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