PacificSource is looking to improve or maintain quality performance, outcomes, and/or rating by supporting the execution of the assigned quality program strategy through data analysis to drive results.
Requirements
- Proven proficiency in data analysis tools and software (e.g., Excel, SAS, SQL) and data visualization/analytics tools (Tableau, Power BI) required.
- Knowledge of CMS Stars rating and OHA Quality Incentive measures including HEDIS, CAHPS, PQA/Pharmacy, HOS, and Display measures.
- Demonstrated skills in quality improvement concepts, healthcare data analysis, data mining methods and the identification of population health issues, trends, and health disparities using healthcare data sources.
- Familiarity with statistical analysis and machine learning techniques is a plus.
- Ability to analyze complex data sets, identify patterns, and drive actionable insights.
- Strong business acumen to interpret strategic vision into an operational model.
- Ability to work independently with minimal supervision.
Responsibilities
- Collect, analyze, and interpret quality performance and results using statistical techniques.
- Generate regular reports on performance metrics, trends, and areas for improvement.
- Develop and maintain dashboards to track key performance indicators (KPI).
- Execute quantitative analyses that translate data into actionable insights.
- Review reports and performance indicators to improve quality ratings.
- Provide analytical and data-driven, decision-making support for key projects.
- Identify opportunities for improvement in quality ratings and measures.
Other
- Minimum of 3 years of experience in data analysis or a related field required.
- Bachelor’s degree in healthcare administration, business administration, mathematics, computer science, information systems, or related field, or equivalent years of additional relevant experience in lieu of degree is required.
- Master’s degree is preferred.
- Travel is required approximately 10% of the time.
- Ability to read and comprehend both written and spoken English.
