Quick Summary
The statements described here are intended to describe the general nature of work being performed by people assigned to this position.
EDUCATION, CERTIFICATION, AND/OR LICENSURE: 1. Bachelor’s Degree in Healthcare Administration, Business Administration, Finance, Economics, Information Systems,
About the Role
~1 min readRequirements
~1 min read1. Bachelor’s Degree in Healthcare Administration, Business Administration, Finance, Economics, Information Systems, or a closely related field
1. Master’s Degree in Healthcare Administration, Business Administration, Finance, Economics, Information Systems, or a closely related field
1. Four (4) years of experience in encounter data management, risk adjustment, or related field within the healthcare industry.
2. Four (4) years of experience working with claims data to evaluate reimbursement changes, payment discrepancies, medical expense opportunities, quality outcomes and risk.
1. Five (5) years of experience in encounter data management or related field within the healthcare industry.
2. Strong knowledge of CMS’ Encounter Data Processing System (EDPS) data files (837P, 837I, 277CA, MAO-001, MAO-002, MAO-004)
3. Knowledge of ICD Diagnosis, CPT, UB, HCFA coding and understanding
4. Understanding of CMS Medicare Regulatory Reporting
Responsibilities
~1 min read1. Strategic thinking
2. Excellent written an oral communication
3. Demonstrated ability to analyze complex data sets, identify patterns, and derive actionable insights. Familiarity with statistical analysis and machine learning techniques is a plus.
4. Exceptional problem-solving and critical-thinking abilities, with a keen attention to detail. Ability to identify and resolve technical issues in a timely manner.
5. Attention to detail
6. Experience with Medicare and Medicaid products
7. Working knowledge of claims, utilization management, member, and/or provider data
8. Effective time management and organizational skills. Flexibility to adapt to changing priorities and business needs. Ability to thrive in a fast-paced and dynamic environment.
9. Work independently as well as in a team environment
10. Proficient with Microsoft Office
11. Proficiency in data integration tools and techniques. Strong knowledge of database management systems (e.g., SQL, NoSQL), data modeling, ETL processes, and data warehousing concepts. Experience with data visualization and analytics tools (e.g., SAS, Tableau, Power BI) is preferred.
12. Proven experience in leading technical projects. Strong interpersonal and communication skills to effectively collaborate with cross-functional stakeholders.
Location & Eligibility
Listing Details
- Posted
- September 22, 2026
- First seen
- September 30, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 35%
- Scored at
- September 30, 2026
Signal breakdown
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.