Policy Analyst/Data Analyst

Tria Federal delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies to advance their critical missions and modernize their systems, so that they can uphold their commitment to the American people. Today, we are pushing the boundaries of possibility through partnerships and investments in artificial intelligence and emerging technologies, developing solutions for the biggest challenges that government will face tomorrow.

The government health IT wing of Tria is seeking a full-time Policy Analyst/ Data Analyst who will support the project team in conducting research and evaluation projects primarily in the area of Health (e.g., government health care programs, such as Medicare/Medicaid). We collaborate with our clients to launch Alternative Payment models by implementing, evaluating and refining health delivery policies, programs and systems. The Data Analyst will be conducting research and analysis in the areas of health care reimbursement, value-based purchasing, quality measurement, pharmacy economics, long-term care, and patient reported outcomes.

Qualifications

• Bachelor’s or Master’s degree in Economics, Mathematics, Statistics or related quantitative field
• 3 years quantitative research experience in economics, health, education, public policy, or related fields
• Experience in data analysis using SAS, SQL, Python, Excel, and/or other statistical and data analytics software
• Knowledge of data analysis and data management techniques
• Proposal and report preparation experience a plus

Public Trust Clearance

This role requires the hired candidate to go through public clearance. A minimum of 3 years of stay in the U.S. within the last 5 years is a must to be eligible to qualify for public trust clearance sponsorship.

Work Location

Must be able to work on-site in Woodlawn, MD when onsite work resumes.

Tagged as: Research/Writing/Journalism