Data Exchange Analyst - Claim Ops (TPA)
Judi Health
| Company | Judi Health |
| Category | Operations & Admin |
| Location | Charlotte |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 31 Jul 2026 |
| Last verified | 11 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
Judi Rx , a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
Judi Health™ , which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
Judi® , the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health . Location: Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area)
Position Summary:
The Data Exchange Analyst is a crucial member of our Data Operations team, responsible for ensuring the accurate, efficient, and secure exchange of healthcare data between Capital Rx – JUDI Health and its various partners, including employers, providers, and other TPAs. This role focuses on the technical aspects of data integration, file transformation, error resolution, and ongoing monitoring of data feeds for medical, dental, and vision claims. The ideal candidate will possess a strong understanding of healthcare data formats, excellent analytical skills, and a commitment to data integrity and compliance.
Key Responsibilities:
Data Integration & Mapping:
Design, develop, and maintain data mappings and transformations for incoming and outgoing healthcare data files: 837/835 - claims & remittance, 270/271 – eligibility and responses, 278 – Prior Auth, 276/277 – claim status, 999/TA1 – file level acknowledgement as well as proprietary formats
Collaborate with internal teams (e.g., Client Services, Claims, IT Development) and external partners (e.g., clearing houses or third-party administrators) to define data requirements and specifications
Work with business teams and trading partners to onboard, test and certify new connections and transaction sets
Data Quality & Validation:
Develop and implement data validation rules and processes to ensure the accuracy, completeness, and consistency of exchanged data
Proactively identify and resolve data discrepancies, errors, and rejections in a timely manner
Perform root cause analysis for data issues and implement preventative measures
Monitoring & Support:
Proactively monitoring system status and Data Exchange management data to quickly identify potential abnormalities that might impact quality and accuracy
Provide technical support and troubleshooting for data exchange issues, working with internal and external stakeholders to resolve problems
Document data exchange processes, configurations, and troubleshooting steps
Process Improvement & Automation:
Identify opportunities to optimize and automate data exchange processes, improving efficiency and reducing manual effort
Stay current with industry best practices, new technologies, and regulatory requirements related to healthcare data exchange
Reporting & Analysis:
Generate reports on data exchange performance, error rates, and key metrics
Analyze data trends to identify potential issues or areas for improvement
Analyze data trends to identify potential issues or areas for improvement
Participate in projects with Data Exchange impacts including vendor changes, client migrations, and client add-on requests
Required Qualifications:
Bachelor's degree in Computer Science, Information Systems, Healthcare Informatics, or a related field. Equivalent work experience may be considered
Knowledge of healthcare claim adjudication processes for medical, dental, and vision
Strong knowledge and familiarity with EDI SNIP validations and one