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Remote Relocation Jobs in Washington, DC (NOW HIRING)

West 4th Strategy

Service Desk Technician

Washington, DC · On-site +1

$59K - $81K/yr

Assesses user issues through conversation or remote access, assigns appropriate priorities, and ... Not eligible for relocation benefits COMPENSATION * Salary Range: $59,000 - $81,000 * Benefits:

W3Global Inc.

Quality Control Inspector

Washington, DC · On-site +1

$90K - $125K/yr

Remote work may be considered for the right candidate, preferably within the Mid-Atlantic region ... Relocation assistance * Professional development assistance * Employee Assistance Program

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$26.8K

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$192.2K

How much do remote relocation jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote relocation in Washington, DC is $100,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,198.00 and $128,839.00 per year, depending on experience, location, and employer.

What is a remote relocation?

A Remote Relocation job allows employees to work from a different location while maintaining their job with an employer or client. It typically involves transitioning to a new city or country without needing to work in a physical office. Companies may offer support such as relocation assistance or legal guidance for international moves. These roles provide flexibility, but employees must consider time zones, work permits, and local regulations.

What are the key skills and qualifications needed to thrive in remote relocation, and why are they important?

To thrive in a Remote Relocation role, you need expertise in relocation logistics, knowledge of immigration and housing processes, and strong project management skills, often supported by a background in HR, real estate, or global mobility. Familiarity with relocation management software, customer relationship management (CRM) systems, and relevant certification such as GMS (Global Mobility Specialist) are common requirements. Outstanding organizational abilities, cultural sensitivity, and excellent client communication help set top performers apart. These qualifications and skills are essential for coordinating seamless transitions while addressing the unique needs of clients moving to new locations remotely.

What are the typical challenges faced in remote relocation, and how can I prepare for them?

Professionals in Remote Relocation often encounter challenges such as coordinating complex moves across time zones, managing last-minute changes to relocation plans, and navigating diverse local regulations without being on-site. To prepare, it's helpful to develop strong organizational habits, become familiar with digital tools for document management and communication, and stay up-to-date on regional legal requirements. Effective teamwork and proactive communication with clients and partner vendors are key to ensuring smooth transitions. Continual learning and adaptability will help you excel in this dynamic and rewarding field.

What are the most commonly searched types of Relocation jobs in Washington, DC?

The most popular types of Relocation jobs in Washington, DC are:

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For Remote Relocation jobs in Washington, DC, the most frequently searched job titles are:

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Remote Relocation jobs near you
Infographic showing various Remote Relocation job openings in Washington, DC as of September 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $100,441 per year, or $48.3 per hour.

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 9 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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