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Remote Power Query Jobs in Washington, DC (NOW HIRING)

Andworx

Power BI Developer (Remote)

Washington, DC · Remote

Expertise with ongoing maintenance and troubleshooting of Power BI-driven reporting ecosystems including query tuning. * Strong analytical skills to collect, organize, analyze, and disseminate data ...

Astrion

AI Productivity & Power BI Lead

Washington, DC · Remote

$136K - $202K/yr

Remote U.S. JOB STATUS: Full-time CLEARANCE: Secret (Ability to Obtain/Maintain) TRAVEL: As Needed ... Power BI Desktop, Power BI Service, DAX, Power Query (M), dataflows, paginated reports, row-level ...

Constellation Inc

Power BI Developer

Washington, DC · Remote

$110K - $130K/yr

Advanced understanding of SQL including query optimization, common table expressions (CTEs), and ... Remote Education: Bachelor's Degree with major in Data Science, Computer Science, Statistics, or a ...

Constellation Inc

Power BI Developer

Washington, DC · On-site +1

$110K - $130K/yr

Advanced understanding of SQL including query optimization, common table expressions (CTEs), and ... Remote Education: Bachelor's Degree with major in Data Science, Computer Science, Statistics, or a ...

Constellation Inc

Power BI Developer

Washington, DC · On-site +1

$110K - $130K/yr

Advanced understanding of SQL including query optimization, common table expressions (CTEs), and ... Remote Education: Bachelor\'s Degree with major in Data Science, Computer Science, Statistics, or a ...

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Remote Power Query information

What are the typical challenges faced by Remote Power Query professionals, and how can they be addressed?

Remote Power Query professionals often encounter challenges related to data connectivity, especially when integrating multiple data sources across different environments. Ensuring consistent data refreshes and troubleshooting connection issues can require creative problem-solving. Effective communication with team members and data owners is key to resolving discrepancies and clarifying requirements. Maintaining documentation and using version control for queries help streamline collaboration and minimize errors while working remotely.

What is the difference between Remote Power Query vs Remote Data Analyst?

AspectRemote Power QueryRemote Data Analyst
Required SkillsData transformation, Power Query, Excel, Power BIData analysis, SQL, Excel, Power BI, visualization
Work EnvironmentRemote, primarily using data tools and platformsRemote, involving data interpretation and reporting
Industry UsageBusiness intelligence, data preparation rolesData analysis, reporting, business insights

Remote Power Query focuses on data transformation and preparation using Power Query tools, often as part of data cleaning and modeling. Remote Data Analysts perform broader data analysis, including interpreting data, creating reports, and providing insights. While both roles require skills in Power BI and Excel, Power Query specialists concentrate on data shaping, whereas Data Analysts handle comprehensive analysis and reporting tasks.

What is a Remote Power Query specialist?

A Remote Power Query specialist is a professional who works from a remote location and is skilled in using Microsoft Power Query, a data connection technology that helps users discover, connect, combine, and refine data across a wide variety of sources. These specialists typically assist organizations in automating data preparation and transformation tasks for business intelligence and reporting. Their expertise allows businesses to streamline data workflows, improve data accuracy, and save time by creating efficient data models and queries without needing in-person support.

What are the key skills and qualifications needed to thrive as a Remote Power Query Specialist, and why are they important?

To thrive as a Remote Power Query Specialist, you need advanced knowledge of data analysis, Power Query (M language), and data transformation concepts, often supported by a degree in computer science, information systems, or a related field. Proficiency with Microsoft Power BI, Excel, and other data visualization or ETL tools, along with relevant certifications like Microsoft Certified: Data Analyst Associate, is typically required. Strong problem-solving ability, attention to detail, and clear communication are vital soft skills for understanding client needs and delivering accurate data solutions remotely. These skills and qualifications ensure efficient data management, enable effective remote collaboration, and drive insightful business decisions.
What are popular job titles related to Remote Power Query jobs in Washington, DC? For Remote Power Query jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Power Query jobs in Washington, DC look for? The top searched job categories for Remote Power Query jobs in Washington, DC are:
Remote Power Query jobs near you
Infographic showing various Remote Power Query job openings in Washington, DC as of June 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.
Medicaid Economics Data Analyst - Full Time - Remote Role

Medicaid Economics Data Analyst - Full Time - Remote Role

GD Resources

Sterling, VA • Remote

Full-time

Posted 22 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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