ZipRecruiter

Log In

2

Remote Economics Statistics Jobs (NOW HIRING)

BOLD

Senior Financial Analyst, Payments

$110K - $130K/yr

Finance, Economics, Statistics or related degree required * 4 to 6 years of progressive experience ... Observed holidays Eligibility Eligible Hiring Locations This position is 100% remote, work from ...

Molina Healthcare

AVP, Medical Economics - REMOTE

$140K - $274K/yr

Bachelor's degree in statistics, mathematics, economics, computer science, health care management or related field. * Advanced understanding of Medicaid and Medicare programs or other health care ...

BOLD Limited

Senior Financial Analyst, Payments

$110K - $130K/yr

Finance, Economics, Statistics or related degree required * 4 to 6 years of progressive experience ... Eligible Hiring Locations This position is 100% remote, work from home. BOLD can hire full-time ...

Molina Healthcare

Director, Medical Economics - REMOTE

$96K - $208K/yr

Bachelor's degree in statistics, mathematics, economics, computer science, health care management or related field. * Advanced understanding of Medicaid and Medicare programs or other health care ...

Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

next page

Showing results 1-20

All Jobsremote JobsRemote Economics Statistics Jobs

Remote Economics Statistics information

See salary details

$46K

$82.1K

$122.5K

How much do remote economics statistics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote economics statistics 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.
More about Remote Economics Statistics jobs

What cities are hiring for Remote Economics Statistics jobs?

Cities with the most Remote Economics Statistics job openings:

What are the most commonly searched types of Economics Statistics jobs?

The most popular types of Economics Statistics jobs are:

What states have the most Remote Economics Statistics jobs?

States with the most job openings for Remote Economics Statistics jobs include:

What job categories do people searching Remote Economics Statistics jobs look for?

The top searched job categories for Remote Economics Statistics jobs are:

Remote Economics Statistics jobs near you
Infographic showing various Remote Economics Statistics job openings in the United States as of August 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Part Time. Highlights an 100% 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

GD Resources

Sterling, VA • Remote

Full-time

Re-posted 18 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

Powered by JazzHR

c1EuWQtdzw