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Remote Economic Statistician Jobs (NOW HIRING)

EmblemHealth

Healthcare Economics Analyst

New York, NY · Remote

REMOTE Summary of Position * Develop data-driven analysis for decision making on how EmblemHealth ... BA/BS Required in Mathematics, Statistics, Economics, Healthcare or other related discipline ...

Carilion Clinic

Sr. Medical Economic Analyst

Roanoke, VA · On-site +1

$76K - $115K/yr

Onsite is preferred, hybrid or remote work option is available. Candidates residing in the ... Demonstrated skills in research design, statistical analysis, and statistical process control ...

Phsorg

Medical Economics Analyst-Payment Integrity

$87K - $149K/yr

Remote Office Santa Fe, NM 87501 Compensation Pay Range: Minimum Offer $87,526.40 Maximum Offer ... Demonstrated ability to perform financial and statistical analysis on large datasets * Strong ...

Carilion Clinic

Sr. Medical Economic Analyst

Roanoke, VA · On-site +1

$76K - $115K/yr

Onsite is preferred, hybrid or remote work option is available. Candidates residing in the ... Demonstrated skills in research design, statistical analysis, and statistical process control ...

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 ...

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How much do remote economic statistician jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote economic statistician in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a remote economic statistician?

Remote economic statisticians are professionals who analyze economic data and trends while working from a location outside of a traditional office, often from home. They use statistical techniques to interpret financial, labor, or demographic information, providing insights to businesses, government agencies, or research organizations. Their work may include designing surveys, collecting and analyzing data, and preparing reports that inform economic policies or business strategies. Remote roles often require strong quantitative skills, proficiency with statistical software, and the ability to communicate findings clearly to stakeholders.

What are the key skills and qualifications needed to thrive as a remote economic statistician?

To thrive as a Remote Economic Statistician, you need strong analytical skills, a solid background in economics or statistics, and usually an advanced degree such as a master's or Ph.D. Proficiency in statistical software like R, Python, SAS, or STATA, as well as experience with data visualization tools and remote collaboration platforms, is typically required. Outstanding written communication, attention to detail, and self-motivation are vital soft skills for excelling in a remote environment. These skills and qualities are crucial for producing reliable economic analyses, effectively communicating insights, and maintaining productivity while working independently.

How does a remote economic statistician typically collaborate with other team members and stakeholders?

As a remote economic statistician, collaboration is primarily conducted through virtual meetings, data-sharing platforms, and project management tools. You'll often work closely with economists, data analysts, and policy experts to ensure statistical models and analyses align with organizational objectives. Clear communication and proactive engagement are essential, as you'll need to present findings, discuss methodologies, and integrate feedback from both technical and non-technical colleagues. Regular check-ins and shared documentation help maintain alignment and productivity within distributed teams.

What is the difference between Remote Economic Statistician vs Remote Data Analyst?

AspectRemote Economic StatisticianRemote Data Analyst
Required CredentialsDegree in Economics, Statistics, or related field; often advanced certificationsDegree in Data Science, Statistics, or related field; certifications vary
Work EnvironmentResearch institutions, government agencies, economic consultanciesBusinesses, tech companies, marketing firms, various industries
Employer & Industry UsagePrimarily in economic research, policy analysis, and governmentAcross multiple sectors for business insights and decision-making

The Remote Economic Statistician specializes in analyzing economic data to inform policy and research, often requiring advanced economics or statistics credentials. In contrast, the Remote Data Analyst focuses on interpreting diverse datasets to support business strategies across industries. While both roles involve data analysis, their focus areas, employers, and required skills differ significantly.

What cities are hiring for Remote Economic Statistician jobs?

Cities with the most Remote Economic Statistician job openings:

What are the most commonly searched types of Economic Statistician jobs?

The most popular types of Economic Statistician jobs are:

What states have the most Remote Economic Statistician jobs?

States with the most job openings for Remote Economic Statistician jobs include:

What are popular job titles related to Remote Economic Statistician jobs?

For Remote Economic Statistician jobs, the most frequently searched job titles are:

Remote Economic Statistician jobs near you

Medicaid Economics Data Analyst - Full Time - Remote Role

Sterling, VA • Remote

GD Resources
Business Management Consulting • 1 - 10 employees
Learn more about GD Resourcesexternal

Full-time

Re-posted 8 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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