The Population Health Data Analyst collects, cleans, and analyzes large healthcare datasets (EHR, claims,, social determinants) to identify trends, measure clinical outcomes, and support value-based care strategies. They create dashboards, reports, and predictive models to improve community health, manage risks, and optimize financial performance.

Key Responsibilities: 

* Data Analysis & Reporting: Analyze large, complex datasets using SQL, SAS, or R to identify health trends, disparities, and utilization patterns.

* Visualization & Insights: Develop dashboards and interactive reports (using Tableau, Power BI, or Epic SlicerDicer) to communicate findings to clinical leaders and stakeholders.

* Quality Improvement: Evaluate program performance, care coordination, and clinical outcomes, providing recommendations for care optimization

* Value-Based Care Support: Analyze claims data to monitor risk-adjusted costs and efficiency in value-based contracts

* Data Governance: Ensure data integrity and compliance with privacy regulations (HIPAA, IRB).  

Required Skills and Qualifications:

* Technical Proficiency: Strong skills in SQL, data visualization tools, and statistical software (SAS, R, or Python)

* Data Handling: Experience with electronic health records (EHR) systems (e.g., Epic) and claims data

* Analytical Skills: Ability to perform complex data manipulation, statistical analysis, and interpretation

* Knowledge Base: Understanding of population health management, healthcare metrics, and epidemiology

Education: Bachelor’s degree in Data Analytics, Health Informatics, Public Health, Statistics, or a related field. 

Salary - $65,000 - $75,000

Shift - Monday - Friday : 9am-5pm