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# Principal, Data Analyst

- **Company:** Gainwell Technologies
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $108,500.0 - $155,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, Business Systems, Data Conversion, Data Integration, Data Mapping, Relational Databases, SQL Databases, Systems Integration, Tools for Reporting, QNXT
- **Published:** August 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a96b295b278bf6e8

## About the Role

* Ten or more years of progressively responsible experience in data analysis, data integration, business systems analysis, solution design, or a related discipline.
 * Seven or more years of experience using SQL to analyze, validate, reconcile, transform, or troubleshoot complex relational data.
 * Five or more years of experience supporting Medicaid, Medicare, healthcare payer, pharmacy benefit, claims administration, or another highly regulated healthcare environment.
 * Experience supporting large-scale system implementation, modernization, conversion, or DDI program.
 * Demonstrated experience producing source-to-target mappings, interface specifications, data-analysis results, and test artifacts.

## Description

The Principal Data analyst is a leadership role focused on supporting large-scale Medicaid healthcare systems implementations, conversions, integrations, and reporting initiatives. The position serves as both a technical lead and subject matter expert, guiding other data analysts while working closely with developers, business stakeholders, clients, and vendors., * Performing complex data analysis using SQL, healthcare data models, and QNXT schemas.

 * Analyzing Medicaid business processes, especially member and eligibility data, claims, providers, pharmacy, and TPL.
 * Creating and maintaining data mapping documents, interface specifications, conversion rules, and testing artifacts.
 * Supporting data conversions, system integrations, reporting solutions, and healthcare interfaces (batch, API, real-time, and file-based).
 * Identifying data gaps, troubleshooting discrepancies, and ensuring data quality during implementations and production support.
 * Collaborating with technical and business teams to define requirements, design solutions, and deliver projects on schedule.
 * Establishing best practices and standardizing data analysis approaches across initiatives.


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