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# EDI Business Analyst

- **Company:** PROPERTY CONSULTANT FIN SVC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Business Logic, JIRA, Data Mapping, Database Queries, Interoperability, Scrum Methodology, Standard Sql, SQL Databases, Computer Network Operations, Fast Healthcare Interoperability Resources, Data Lakes, Pyspark, Health Level Seven International, Databricks
- **Published:** July 31, 2026
- **Apply:** https://www.dice.com/job-detail/3cab4c96-5493-4c45-ab4f-156268247dc5

## About the Role

EDI X12 Expertise: Advanced proficiency in processing and translating 837 (Claims), 834 (Enrollment), 835 (Remittance), and 270/271 (Eligibility) files - 8+ years of experience

Databricks Ecosystem: Strong familiarity with Delta Lake concepts, Medallion Architecture (Bronze/Silver/Gold), and Unity Catalog governance - 6+ years of experience

Data Querying: Exceptional SQL skills to analyze multi-million row datasets, write complex joins, and audit pipeline data quality - 6+ years of experience

Interoperability Standards: Deep working knowledge of CMS Interoperability rules, HL7 v2/v3, and FHIR resource structures.

Payer Operations: Direct experience working within a health plan environment, including strong grasp of claims pricing and enrollment logic.

Soft Skills & Professional Experience

Experience: Minimum 8+ years of IT Business Analysis experience, with at least 4 years dedicated to healthcare interoperability.

Agile Delivery: Proven success operating in fast-paced Scrum or Kanban environments, owning Jira epics and story decomposition., Bridging the Gap: Rare ability to explain highly complex X12 looping structures to developers, and technical Databricks limitations to business stakeholders.

## Description

Requirement Engineering: Lead discovery sessions with clinical, billing, and network operations to map healthcare data pipelines.

Data Mapping & Design: Author detailed data mapping specifications converting legacy formats into modern cloud data lake models

Databricks Collaboration: Partner with data engineers to translate business logic into optimized PySpark or SQL transformation pipelines

Standards Enforcement: Serve as the subject matter expert for healthcare data exchange compliance across all internal platforms.

Testing & Validation: Define comprehensive test scenarios, validate complex payloads, and coordinate End-to-End user acceptance testing.


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