Data Exchange Analyst- Claim Ops (TPA)

Capital Rx

New York (NY)

Hybrid

USD 81,000 - 121,000

Full time

14 days+

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Job summary

Judi Health, a health technology leader, seeks a Data Exchange Analyst to ensure accurate, secure data exchange across partners.

Responsibilities include data mapping for 837/835, 270/271, 278, and 276/277, validation, monitoring, and automation opportunities. The role emphasizes collaboration with clients and vendors and adherence to HIPAA.

Qualifications

  • Bachelor's degree or equivalent in CS/IS/Health Informatics or related field
  • Knowledge of healthcare claim adjudication processes (medical/dental/vision)
  • Familiarity with EDI SNIP validations and industry tools like EDIFECS
  • 2+ years in data analysis, integration, or healthcare EDI
  • Understanding of major EDI transactions (834, 837, 835, 270/271, 278, 276/277)
  • Experience with FTP/SFTP/FTPS and HIPAA compliance
  • Strong analytical, problem-solving, and communication skills
  • Ability to handle multiple priorities in a dynamic team

Responsibilities

  • Design, develop, and maintain data mappings and transformations for healthcare data files (837/835, 270/271, 278, 276/277)
  • Collaborate with internal teams and external partners to define data requirements
  • Onboard, test, and certify new connections and transaction sets
  • Develop data validation rules to ensure accuracy and completeness
  • Monitor data feeds and resolve discrepancies and rejections
  • Provide troubleshooting support and document processes
  • Identify opportunities to automate data exchange and improve efficiency
  • Generate reports on data exchange performance and trends

Skills

SQL
Excel
Data analysis
EDI
HIPAA
Data integrity
Communication

Education

Bachelor's degree in CS/IS/Health Informatics

Tools

EDIFECS
FTP/SFTP/FTPS
JSON

Job 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

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

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 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 Interchange) specifically within the healthcare industry
  • Strong understanding of healthcare EDI transactions (e.g., 834 Enrollment, 837 Professional/Institutional/Dental Claims, 835 Remittance Advice)
  • Excellent analytical, problem-solving, and critical thinking skills
  • Familiarity with various file transfer protocols (FTP, SFTP, FTPS)
  • Understanding of HIPAA compliance and other relevant healthcare regulations
  • Strong attention to detail and a commitment to data accuracy
  • Ability to analyze complex business problems to discover and resolve root causes
  • Proficiency in SQL, Excel, JSON and other technical data skills preferred
  • Strong communication skills with the ability to develop effective work relationships with internal and external stakeholders
  • Self-motivated and detail-oriented problem solver
  • Ability to handle multiple competing priorities in a dynamic environment and collaborate in a team

New York, NY Salary Range: $96,800 — $121,000 USD

Denver, CO Salary Range: $88,800 — $111,000 USD

Charlotte, NC Salary Range: $80,800 — $101,000 USD

All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found athttps://www.judi.health/legal/privacy-policy.

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