Quality Data Analyst – Pay-for-Performance Analytics (PT)

Upland Hills Health; Dodgeville (WI); On-site; USD 26,000 - 32,000; Part time

Benefits offered by this job

Comprehensive benefits

PTO from day one

Retirement plan with match

Wellness centers access

Employer events

Job summary

Upland Hills Health is seeking a part-time Quality Data Analyst in the Quality Improvement Department in Dodgeville, WI. The role focuses on pay-for-performance programs, payer quality measures, and data-driven quality improvement across ambulatory care.

Responsibilities include chart reviews, data abstraction, and collaboration with clinicians to close care gaps, while ensuring CMS/MIPS reporting requirements are met.

Qualifications

• Minimum of 1 year of experience in a healthcare setting.
• Knowledge of medical terminology and clinical practice guidelines.
• Experience with electronic health records (EHRs) required.
• Strong analytical and problem-solving skills.
• Excellent interpersonal, organizational, written, and verbal communication skills.

Responsibilities

• Serve as liaison with insurance payers for pay-for-performance and value-based care programs.
• Monitor payer scorecards, quality dashboards, and performance reports.
• Conduct chart reviews to identify care gaps and improvement opportunities.
• Track performance improvement project metrics and outcomes.
• Collaborate with providers to close care gaps and improve payer quality measures.
• Analyze clinical data to identify trends and support quality initiatives.
• Abstract clinical data from multiple sources for reporting requirements.
• Oversee MIPS quality measure monitoring and reporting activities.

Skills

Analytical thinking

Communication skills

Independent work

Education

Nursing degree/cert beneficial

Tools

Microsoft Excel

Microsoft Word

PowerPoint

Job description

Upland Hills Health is seeking a part-time Quality Data Analyst in the Quality Improvement Department in Dodgeville, WI. The role focuses on pay-for-performance programs, payer quality measures, and data-driven quality improvement across ambulatory care.

Responsibilities include chart reviews, data abstraction, and collaboration with clinicians to close care gaps, while ensuring CMS/MIPS reporting requirements are met.