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Remote Healthcare Data Analyst Jobs in Springfield, VA

Ansible Government Solutions

Senior Data Analyst

Arlington, VA · On-site +1

$98K - $124K/yr

Overview The Senior Data Analyst supports the Veterans Health Administration Specialty Care Program Office by providing enterprise data management, reporting, analytics, business intelligence, and ...

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All JobsHealthcare Data Analyst JobsRemote Healthcare Data Analyst JobsRemote Healthcare Data Analyst Jobs in Springfield, VA

Remote Healthcare Data Analyst information

See Springfield, VA salary details

$35.5K

$86.3K

$142.1K

How much do remote healthcare data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote healthcare data analyst in Springfield, VA is $86,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $101,300.00 per year, depending on experience, location, and employer.

What does a remote healthcare data analyst do?

A Remote Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work from a remote location, using data analytics tools to interpret trends, identify patterns, and generate reports that support healthcare providers, insurance companies, or government agencies. Their work helps improve patient outcomes, optimize operations, and ensure regulatory compliance. Strong analytical, technical, and communication skills are essential for this role.

What are the key skills and qualifications needed to thrive as a remote healthcare data analyst?

To thrive as a Remote Healthcare Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and a degree in health informatics, statistics, or a related field. Experience with data analysis tools like SQL, Python, Excel, and familiarity with healthcare databases and HIPAA compliance are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for presenting insights and collaborating remotely. These skills ensure accurate data interpretation, support evidence-based decisions, and facilitate secure, efficient operations in a virtual healthcare environment.

How does a remote healthcare data analyst typically collaborate with clinical teams, and what tools are commonly used for effective remote communication?

Remote Healthcare Data Analysts frequently work with clinical teams to interpret data trends and support decision-making. Collaboration usually happens through virtual meetings, secure messaging platforms, and shared dashboards. Tools like Microsoft Teams, Slack, and HIPAA-compliant data sharing systems are commonly used to ensure secure and efficient communication. Building strong relationships and maintaining clear, consistent updates are key to overcoming the challenges of remote work and ensuring seamless teamwork.

Can remote healthcare data analysts work from home?

Yes, remote healthcare data analysts often work from home, utilizing tools like data analysis software and secure networks. They typically need strong analytical skills, familiarity with electronic health records, and reliable internet access to perform their duties effectively.

Is it possible to get a remote job as a healthcare data analyst?

Yes, healthcare data analyst roles are often available as remote positions, especially with the increasing use of digital health records and data analysis tools like SQL and Excel. Employers typically require strong analytical skills, knowledge of healthcare data standards, and relevant certifications such as Certified Health Data Analyst (CHDA).

Is there a demand for remote healthcare data analysts?

Remote healthcare data analysts are in high demand due to the increasing use of electronic health records and data-driven decision-making in healthcare. Employers seek professionals skilled in data analysis tools like SQL, Excel, and visualization software, often requiring knowledge of healthcare regulations and certifications such as HEDIS or HIPAA compliance.

What are popular job titles related to Remote Healthcare Data Analyst jobs in Springfield, VA?

For Remote Healthcare Data Analyst jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Data Analyst jobs in Springfield, VA look for?

The top searched job categories for Remote Healthcare Data Analyst jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Remote Healthcare Data Analyst jobs?

Cities near Springfield, VA with the most Remote Healthcare Data Analyst job openings:

Remote Healthcare Data Analyst jobs near you
Infographic showing various Remote Healthcare Data Analyst job openings in Springfield, VA as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $86,320 per year, or $41.5 per hour.

Medicaid Economics Data Analyst - Full Time - Remote Role

GD Resources

Sterling, VA • Remote

Full-time

Re-posted 4 days ago

Job description


Data Analyst III – Medical Economics
Location: Fully Remote (CST/EST preferred; CA candidates must start ~6:00am PST)
Type: Permanent
Salary: $85,000–$95,000 base + 8% target bonus 
Industry: Healthcare / Managed Care
Overview
We are expanding our Medical Economics team and are seeking a Data Analyst III with strong managed care analytics experience. This role focuses on Medicare, Medicaid, and Marketplace analytics, reimbursement methodologies, and financial performance insights that support affordability, quality, and MLR targets.
The ideal candidate has hands-on experience working with large healthcare datasets, payment methodologies, and cross-functional stakeholders, with exposure to actuarial or medical economics workstreams.
Key Responsibilities
  • Analyze Medicare, Medicaid, and Marketplace data to support medical cost, utilization, and reimbursement insights
  • Develop and maintain complex SQL queries to extract, validate, and analyze large datasets
  • Perform financial and medical cost analyses related to payment and reimbursement methodologies (DRG, APC, EAPG)
  • Build and maintain Power BI dashboards using DAX and Power Pivot to track KPIs, MLR, and QAI initiatives
  • Create advanced Excel models using Pivot Tables, Power Query, nested formulas, and lookups to support financial modeling
  • Collaborate with Medical Economics, Actuarial, Finance, and other cross-functional teams
  • Support evaluation of Quality & Affordability Initiatives (QAI) and Medical Loss Ratio (MLR) performance
  • Ensure data accuracy through validation, reconciliation, and documentation
Required Qualifications
  • Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or related field
    • Equivalent experience considered
  • 4+ years of experience working with large datasets, data management, and analytics
    • OR 2+ years of IT/data-focused experience with healthcare exposure
  • Strong experience in Managed Care / Medical Economics analytics
  • Demonstrated knowledge of payment and reimbursement methodologies (DRG, APC, EAPG)
  • Advanced SQL skills (complex SELECTs, multiple JOINs, subqueries)
  • Advanced Excel skills (Pivot Tables, Power Query, VLOOKUP/XLOOKUP, financial modeling)
  • Power BI experience, including DAX and Power Pivot
Preferred / Nice-to-Have
  • Experience with actuarial or financial analytics in a healthcare setting
  • Exposure to Python and/or R
  • Consulting experience within managed care or medical economics
Additional Notes
  • No relocation available
  • No sponsorship
  • This is a new position due to team expansion
  • Candidates with actuarial-adjacent experience or prior medical economics consulting backgrounds have been especially successful in this team

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