Hedis Analyst Remote Jobs in Springfield, IL (NOW HIRING)

As of Aug 19, 2026, the average yearly pay for hedis analyst remote in Springfield, IL is $72,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $86,200.00 per year, depending on experience, location, and employer.

A HEDIS Analyst (Remote) is a healthcare professional who collects, analyzes, and reports on healthcare quality data according to the Healthcare Effectiveness Data and Information Set (HEDIS) standards, while working from a remote location. Their primary role is to ensure accurate and timely submission of HEDIS data, often using electronic medical records and claims data. They collaborate with healthcare providers, quality improvement teams, and data analysts to identify gaps in care and help improve patient outcomes. Remote HEDIS Analysts utilize technology to communicate with team members and manage sensitive health information securely from their home or another offsite location.

To thrive as a HEDIS Analyst (Remote), you need strong analytical skills, familiarity with healthcare data, experience in quality measurement, and typically a bachelor’s degree in health informatics, public health, or a related field. Proficiency with data analysis tools like SQL, Excel, and healthcare software such as NCQA HEDIS reporting systems is often required, along with knowledge of HIPAA compliance. Excellent attention to detail, problem-solving ability, and strong communication skills are crucial for collaborating with cross-functional teams and interpreting complex data. These skills ensure accurate measurement, reporting, and improvement of healthcare quality, which are critical for meeting regulatory standards and enhancing patient outcomes.

Remote HEDIS Analysts often encounter challenges related to data accessibility, communication, and maintaining collaboration with clinical and quality improvement teams. To address these, successful analysts leverage secure remote access tools, maintain regular check-ins with their teams, and use project management platforms to ensure data integrity and workflow transparency. Building strong relationships with IT and data management staff is also essential for troubleshooting technical issues quickly and keeping projects on track.