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Quality Data Analyst

PacificSource Health Plans

Salary not specified
Aug 25, 2025
Springfield, OR, US
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PacificSource is looking for a way to make an impact and help people by improving member access to quality, affordable care through data analysis and quality program execution.

Requirements

  • Minimum of 3 years of experience in data analysis or a related field required.
  • 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.
  • Demonstrated ability to analyze complex data sets, identify patterns, and drive actionable insights.
  • Familiarity with statistical analysis and machine learning techniques is a plus.
  • Ability to identify and resolve technical issues in a timely manner.

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

  • Collaborate with cross-functional teams to develop and implement action plans.
  • Communicate findings on a regular basis to all levels of business and management.
  • Stay apprised of changes made by regulatory and governing bodes to relevant program guidelines, methodology, and regulations.
  • Interpret policy changes and model impacts to plan performance and operations.
  • Work closely with internal departments, including clinical, operations, and customer service teams, to align quality improvement efforts.