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Medicare Data Analyst Jobs in Virginia (NOW HIRING)

Health Data Engineer - Mid

Tysons, VA

$115K - $139K/yr

... analytics platforms with a primary focus on Medicare, Medicare Advantage, and risk adjustment. The ideal candidate will bring a strong background in data engineering and analytics, as well as ...

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

... analytics platforms with a primary focus on Medicare, Medicare Advantage, and risk adjustment. The ideal candidate will bring a strong background in data engineering and analytics, as well as ...

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

... analytics platforms with a primary focus on Medicare, Medicare Advantage, and risk adjustment. The ideal candidate will bring a strong background in data engineering and analytics, as well as ...

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

... analytics platforms with a primary focus on Medicare, Medicare Advantage, and risk adjustment. The ideal candidate will bring a strong background in data engineering and analytics, as well as ...

The Health Data Analytics Consultant will provide support on a number of payment model ... Understanding of Medicare and Medicaid payment methodologies *All employees working remotely will ...

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Showing results 1-20

Medicare Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do medicare data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for medicare data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What does a Medicare Data Analyst do?

A Medicare Data Analyst is responsible for collecting, analyzing, and interpreting data related to Medicare claims, costs, and patient outcomes. They use statistical tools and healthcare databases to identify trends, patterns, and areas for improvement in Medicare services. Their work helps healthcare organizations optimize processes, ensure compliance with regulations, and improve patient care outcomes. Analysts may also create reports and present their findings to stakeholders to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a Medicare Data Analyst?

To thrive as a Medicare Data Analyst, you need strong analytical skills, knowledge of healthcare regulations, and a background in statistics or data science, often supported by a relevant degree. Proficiency in tools like SQL, SAS, Python, and experience with Medicare claims databases or other healthcare data systems is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting complex data and presenting insights to stakeholders. These skills and qualities are crucial for ensuring accurate analysis, compliance, and data-driven decision-making in the healthcare sector.

What are the most common challenges Medicare Data Analysts face when working with large healthcare datasets?

Medicare Data Analysts often encounter challenges related to the complexity and volume of healthcare data, such as ensuring data accuracy, managing incomplete or inconsistent records, and maintaining compliance with privacy regulations like HIPAA. Analysts must also adapt to evolving data formats and work closely with cross-functional teams—including IT, clinicians, and compliance officers—to interpret findings and implement data-driven solutions. Staying current with regulatory changes and mastering various analytical tools are crucial for overcoming these challenges and delivering actionable insights.

What job categories do people searching Medicare Data Analyst jobs in Virginia look for?

The top searched job categories for Medicare Data Analyst jobs in Virginia are:

What cities in Virginia are hiring for Medicare Data Analyst jobs?

Cities in Virginia with the most Medicare Data Analyst job openings:

Infographic showing various Medicare Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Sr. Medical Economics Analyst

Ennoble Care

Arlington, VA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Ennoble Care rating

4.2

Company rating: 4.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

About Us

Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today!

Position Overview 

We are seeking an experienced Sr. Medical Economics Analyst to join our value-based care (VBC) team in our Accountable Care Organization (ACO). This role requires a seasoned professional with 3-5 years of data analytics experience who can navigate the complex landscape of Medicare risk models, value-based care arrangements, and population health analytics. The ideal candidate will play a critical role in optimizing our organization's performance under CMS total cost of care models while ensuring sustainable financial outcomes. 

Key Responsibilities 

Risk Assessment & Medicare Analytics 

  • Develop and maintain sophisticated risk-adjusted provider group performance models using CMS-HCC methodology.
  • Analyze VBC performance under various CMS and CMMI total cost-of-care models.
  • Monitor and forecast financial performance across assigned patient populations.
  • Conduct comprehensive claims analysis using CCLF (Claims and Claims Line Feed) and BCDA (Beneficiary Claims Data API) datasets, including simulating CMS-HCC risk adjustment. 

Data Management & Analytics 

  • Process and analyze large healthcare datasets, combining multiple data sources including EHR systems and Medicare claims data.
  • Ensure data quality and integrity across all analytical processes. 

Business Intelligence & Reporting 

  • Create fit-for-purpose analytical reports that translate complex actuarial findings into actionable business insights.
  • Develop executive dashboards and performance metrics aligned with organizational strategic goals.
  • Present findings and recommendations to leadership teams and clinical stakeholders.
  • Support budget planning and financial forecasting processes. 

Regulatory Compliance & Process Improvement 

  • Stay current with evolving CMS and CMMI program requirements and quality measures.
  • Collaborate with revenue cycle and coding teams to optimize documentation and billing accuracy. 
Required Qualifications 

Education & Certification 

  • Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Business Administration or related quantitative field 

Experience Requirements 

  • 3-5 years of data analytics experience, preferably in healthcare or Medicare-focused environments
  • Thorough understanding of and hands-on experience with Medicare risk adjustment and CMS-HCC models
  • Demonstrated experience working with CMS and CMMI total cost of care (ACO) programs
  • Proven track record analyzing Medicare claims data, specifically CCLF and BCDA datasets
  • In-depth knowledge of healthcare billing processes from both provider and CMS perspectives 

Technical Proficiency 

  • Advanced proficiency in Microsoft Excel (pivot tables, complex formulas, VBA preferred)
  • Strong SQL skills with ability to write complex queries and optimize database performance
  • Experience with Microsoft Azure cloud platform and related analytics tools
  • Proven ability to work with very large datasets (multi-million row files) and combine data from multiple sources
  • Experience integrating EHR data with claims datasets for comprehensive population health analysis 

Core Competencies 

  • Exceptional analytical and problem-solving capabilities
  • Strong business acumen with the ability to translate technical findings into strategic recommendations
  • Excellent written and verbal communication skills for both technical and non-technical audiences
  • Proven team player with a collaborative approach to cross-functional projects
  • Demonstrated capability to understand and respond to evolving business needs 

Location:  Fully Remote (with up to 10% travel) 

This position requires the ability to work with sensitive healthcare information and maintain strict confidentiality in accordance with HIPAA and other applicable regulations. 

Full-time employees qualify for the following benefits:

  • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. 
  • Paid Time Off
  • Paid Office Holidays 

All employees qualify for these benefits:

  • Paid Sick Time
  • 401(k) with up to 3% company match
  • Referral Program
  • Payactiv: pay-on-demand. Cash out earned money when and where you need it!

Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.

Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status. 


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