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Full Time Remote Economist Jobs (NOW HIRING)

Think Tank, Inc.

Economist

Silver Spring, MD · Remote

Remote Position in the United States *Position is Subject to Contract Award Position Overview Think ... If exercised, this is a full-time position (40 hours/week; approximately 2,080 hours/year)

City of Lacey, WA

Economic Development Strategist

Lacey, WA · On-site +1

$8.5K - $10K/mo

Salary: $8,529.80 - $10,918.86 Monthly Location : 420 College Street SE, Lacey, WA Job Type: Full Time Remote Employment: Flexible/Hybrid Job Number: 2026-00029 Department: Community and Economic ...

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How much do full time remote economist jobs pay per year?

As of Jul 15, 2026, the average yearly pay for full time remote economist in the United States is $82,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Remote Economist jobs? The most popular types of Remote Economist jobs are:
Full Time Remote Economist jobs near you
Infographic showing various Full Time Remote Economist job openings in the United States as of July 2026, with employment types broken down into 6% Internship, 75% As Needed, 2% Full Time, 16% Nights, and 1% Summer. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $82,064 per year, or $39.5 per hour.
Medicaid Economics Data Analyst - Full Time - Remote Role

Medicaid Economics Data Analyst - Full Time - Remote Role

GD Resources

Sterling, VA • Remote

Full-time

Posted 10 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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