Analyst, Data Exchange; Medical, Dental & Vision
Listed on 2026-08-26
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IT/Tech
Data Analyst, Data Engineering
About Judi Health
Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing™ architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit (Use the "Apply for this Job" box below)..health
Location:
Hybrid 3 days a week in-office (NYC, Denver, CO or Charlotte, NC)
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.
- 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
- 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
- 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
- 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
- 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
- Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.
- 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 of the most widely used tools in the healthcare industry (e.g., EDIFECS)
- 2+ years of experience in data analysis, data integration, or EDI (Electronic Data…
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