Business Systems Analyst - EPIC Tapestry

Compunnel, Inc.

Baton Rouge (LA)

On-site

USD 75,000 - 95,000

Full time

14 days+

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Job summary

A leading healthcare solutions provider seeks a Business Systems Analyst to manage the integration and configuration of their Epic Tapestry environment. The role involves designing data pipelines and translating complex payer policies into actionable business rules. Candidates should have Epic Tapestry certification, extensive SQL experience, and familiarity with Azure Data Factory and ANSI X12 standards. This position emphasizes precision, compliance, and collaboration in a fast-paced healthcare IT environment.

Qualifications

  • Epic Tapestry Certification (UM or Claims focus preferred).
  • 3–5+ years hands-on build experience in Tapestry environments.
  • 3–5+ years working with 837 and 834 transaction sets.
  • 3–5+ years of advanced SQL querying experience.
  • 1–2+ years in enterprise integration or ETL using Azure Data Factory.

Responsibilities

  • Design and maintain data pipelines for Epic ingestion.
  • Perform hands-on build and optimization of Tapestry modules.
  • Translate payer policies into actionable business rules.
  • Query databases and validate data integrity.
  • Utilize Azure Data Factory for data movement and orchestration.

Skills

Epic Tapestry Certification
SQL querying
Data validation
ETL roles in Azure Data Factory
ANSI X12 standards
Interoperability standards

Job description

Business Systems Analyst - EPIC Tapestry

03/20/2026

Contract

Active

Job Description:
Position Overview

We are seeking a highly skilled Business Systems Analyst to lead the integration and configuration of our Epic Tapestry environment. This role focuses on the end-to-end lifecycle of payer data, from ingesting external files and database records to transforming them into X12 formats for seamless loading into Epic. The analyst will be responsible for both the technical integration layer and the internal business logic within the Tapestry module.

Key Responsibilities
  • Data Integration & Transformation: Design and maintain pipelines to ingest data from internal/external sources. Convert data formats into X12 837 (Claims) and 834 (Enrollment) standards for Epic ingestion.
  • Epic Tapestry Build: Perform hands‑on build, maintenance, and optimization of Tapestry modules including Claims, Membership, and Benefits Engine.
  • Business Rules Translation: Translate complex payer policies into actionable business rules and system configurations within Epic.
  • SQL & Data Validation: Use SQL to query database tables, validate data integrity, and troubleshoot interface errors between the integration layer and Epic.
  • Azure Data Factory (ADF): Utilize ADF as the central hub for data movement and orchestration, ensuring reliable delivery of mission‑critical healthcare data.
Required Skills & Experience
  • Current Epic Tapestry Certification (UM or Claims focus preferred).
  • 3–5+ years of hands‑on build experience in Tapestry environments.
  • 3–5+ years working with 837 and 834 transaction sets, X12 EDI transactions.
  • 3–5+ years of advanced SQL querying and data validation experience.
  • 1–2+ years (highly preferred) in enterprise integration or ETL roles using Azure Data Factory.
  • Experience with ANSI X12 standards, SQL Server, and cloud‑based ETL tools.
  • Familiarity with Epic Bridges and data structures within Chronicles/Clarity.
  • Ability to map complex source‑to‑target data flows and identify bottlenecks in integration layers.
  • Strong ability to translate between clinical/business requirements and technical integration specifications.
Preferred Qualifications
  • Experience with payer data lifecycle management.
  • Exposure to healthcare interoperability standards and compliance requirements.
  • Strong communication and stakeholder management skills.
  • Collaborative role working with payer operations, IT integration teams, and Epic administrators.
  • Fast‑paced healthcare IT environment requiring precision and compliance.
  • Focused on mission‑critical data delivery and system reliability.
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