Data Analyst Medical Economics | 100% Remote

Zeektek; United States; Remote; USD 80,000 - 100,000; Full time

Benefits offered by this job

Fully remote environment

Collaborative team

High-impact role

Job summary

A leading healthcare analytics firm is looking for a Data Analyst in Medical Economics. This role involves analyzing Medicare and Medicaid data to support financial initiatives, developing dashboards using SQL and Power BI, and ensuring data quality. Candidates should possess a relevant bachelor's degree and strong skills in SQL and Excel, with 4+ years of experience in healthcare analytics. The position offers the flexibility of a fully remote environment and an opportunity to influence affordability initiatives and performance strategies.

Qualifications

• Bachelor’s degree in business, economics, statistics, mathematics, or related field.
• 4+ years of experience with healthcare datasets; or 2+ years of IT experience focused on data.
• Strong SQL skills, advanced knowledge in Excel, and experience with Power BI.

Responsibilities

• Analyze Medicare, Medicaid, and Marketplace data for financial performance.
• Build and validate metrics and dashboards using SQL and Power BI.
• Ensure data quality and conduct verification processes.

Skills

SQL

Advanced Excel

Power BI

Healthcare analytics

Education

Bachelor's degree in a relevant field

Tools

PowerPivot

Python

R

Job description

Data Analyst Medical Economics | 100% Remote

We are expanding our Medical Economics team and seeking a Data Analyst who can turn complex healthcare data into clear, actionable insights. This role is ideal for someone with strong SQL, advanced Excel/Power BI skills, and deep experience with Medicare, Medicaid, or Marketplace analytics. Candidates with managed care, actuarial, or medical economics consulting backgrounds tend to excel in this environment.

Key Responsibilities

• Analyze Medicare, Medicaid, and Marketplace data to support Medical Loss Ratio (MLR), Quality and Affordability Initiatives (QAI), and financial performance targets.
• Build and validate metrics, dashboards, and models using SQL, Power BI, PowerPivot, and advanced Excel functions.
• Develop and maintain complex SQL queries for data extraction, validation, and transformation across large databases.
• Evaluate provider payment methodologies, including DRG, APC, and EAPG pricing.
• Perform financial analytics, forecasting, and sizing to support business cases and operational decisions.
• Partner with cross-functional teams, including Actuarial, Finance, and Clinical Operations, to assess key performance indicators and cost-of-care drivers.
• Ensure data quality, conduct verification processes, and maintain documentation of data logic and modeling assumptions.
• Contribute to ongoing enhancements of Medical Economics reporting tools, dashboards, and methodologies.

Required Qualifications

• Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or related field; or equivalent experience.
• 4+ years of experience working with large healthcare datasets, data verification, and data management; OR 2+ years of IT experience with a strong data focus.
• Strong SQL skills, including writing and interpreting complex queries, SELECT statements, JOINs, and aggregations.
• Advanced Excel skills: Pivot Tables, Power Query, VLOOKUP/XLOOKUP, nested formulas, and financial modeling.
• Experience with Power BI, including DAX and Power Pivot.
• Background in Medicare, Medicaid, Marketplace, managed care analytics, or medical economics.
• Understanding of healthcare payment methodologies: DRG, APC, EAPG, or similar.

Preferred Qualifications

• Experience with Python or R for statistical analysis or automation.
• Actuarial experience (health insurance, pricing, or reserving) or work in medical economics consulting.
• Familiarity with evaluation of QAI initiatives, MLR targets, and healthcare KPIs.

Why Join Us

• Fully remote environment with a collaborative, data-driven team.
• High-impact role directly influencing affordability initiatives, cost-of-care strategies, and financial performance.
• Opportunity to work across Finance, Actuarial, Clinical, and Analytics teams.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other and Information Technology

Industries

• Hospitals and Health Care
• IT Services and IT Consulting