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How much do hedis analyst remote jobs pay per year?

As of Jun 1, 2026, the average yearly pay for hedis analyst remote in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a HEDIS Analyst (Remote), and why are they important?

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.

What are some common challenges HEDIS Analysts face when working remotely, and how can they be addressed?

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.

What is a HEDIS Analyst (Remote)?

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.

What is the difference between Hedis Analyst Remote vs Hedis Coordinator Remote?

AspectHedis Analyst RemoteHedis Coordinator Remote
Required CredentialsTypically requires a healthcare or data analysis background, often with certifications in healthcare analytics or related fieldsUsually requires healthcare experience, with some roles preferring certifications in care coordination or case management
Work EnvironmentPrimarily data analysis, reporting, and compliance monitoring in a remote settingFocuses on care coordination, member engagement, and documentation, often involving communication with providers and members
Employer & Industry UsageCommon in health plans, healthcare analytics firms, and insurance companiesFound in health plans, Medicaid/Medicare organizations, and healthcare providers

While both roles are remote and involve healthcare, Hedis Analysts focus on data analysis and compliance reporting, whereas Hedis Coordinators handle member engagement and care coordination. The choice depends on whether you prefer data-driven tasks or direct member interaction.

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Hedis Analyst Remote jobs near you
Quality and Patient Safety Hospital Data Analyst (remote eligible)

Quality and Patient Safety Hospital Data Analyst (remote eligible)

UT Health San Antonio

San Antonio, TX • Remote

Full-time

Posted 8 days ago

UT Health San Antonio rating

7.7

Company rating: 7.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

211th of 530 rated colleges and universities

Job description

The Analyst-Data Science Quality supports the Office of the Chief Medical Officer (CMO) and the Sr Director of Quality and Patient Safety by extracting and analyzing data from electronic medical records (EMRs) and other internal and external data sources. The analyst transforms complex data into actionable insights, leveraging technology to ensure the information is accurate, meaningful, and easily accessible to stakeholders. This role plays a key part in supporting all Quality Improvement (QI) initiatives across the health system by identifying trends, measuring performance, and informing strategies that improve patient outcomes, enhance safety, and optimize healthcare delivery.

Qualifications
    Bachelor's degree in a quantitative field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data Science, Business Analytics, Epidemiology, Public Health or a related discipline.
    An advanced degree in Business, Science, Finance, Mathematics, Economics, Epidemiology, Public Health or related field is a plus and may substitute for some experience.

Experience
    Minimum of 2 years of experience in data analysis, analytics, or functional business experience within the healthcare industry
    Demonstrated experience supporting healthcare quality improvement efforts is highly desirable.
 

1.    Will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change.
2.    Collaborate with Quality Improvement teams to define metrics and develop data-driven solutions that support clinical and operational QI initiatives.
3.    Analyze large datasets to identify trends, patterns, and opportunities for improving patient outcomes, reducing costs, and enhancing service delivery.
4.    Assists with strategic intelligence development through report writing, dashboard development, and front-end scripting, using a variety of platforms including PowerBI, SQL, and Excel.
5.    Design, develop, and maintain dashboards and reports to monitor key performance indicators (KPIs) related to quality improvement goals. 
6.    Translate complex data into actionable insights for both technical and non-technical stakeholders through visualizations, presentations, and written reports
7.    Utilize statistical methods and modeling techniques to support evidence-based decision-making.
8.    Integrate different data sources, creating one unified, manipulable data source.

9.    Work with internal departments and external partners to acquire, validate, and integrate data for analysis.
10.    Maintains up-to-date knowledge by reading technical journals, and attending seminars, internal user groups, and workshops to learn about new developments and changing technology trends.
11.    Stay current with healthcare regulations, quality measurement standards (e.g., HEDIS, NCQA, CMS), and industry best practices.
12.    Collaborates with other departments in a mentoring and guidance role on the data tools available.
13.    Performs other related work as required.
 

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