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# Data Management Analyst 4 - Contingent

- **Company:** Everforth Apex
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Business Systems, Databases, Data Validation, Data Governance, Data Infrastructure, Apache Hive, Microsoft SQL Server, Oracle (Applications), SQL Databases, Teradata SQL, Google Cloud, Data Management
- **Published:** June 18, 2026
- **Apply:** https://www.dice.com/job-detail/db192c23-4823-4798-b196-3d9fe8d1766d

## About the Role

* 7+ years of business systems analysis and/or business systems design experience
 * 4+ years of advanced SQL development (SQL Server, Oracle, Teradata, Hive, or Google Cloud Platform)
 * Strong analytical, problem-solving, and data analysis skillsPlusses:

 * Experience in Global Payments & Liquidity or Wholesale Banking
 * Strong stakeholder management and communication skills
 * Experience managing data infrastructure or analytics-related initiatives

## Description

In this contingent resource assignment, you will consult on complex initiatives with broad impact and large-scale planning for Data Management. You will analyze complex, multi-faceted data challenges requiring in-depth evaluation and contribute to resolving issues while ensuring adherence to governance, compliance, and organizational standards. This role focuses on business/data analysis, data infrastructure support, and collaboration across technology and business teams within the GPLA organization.
Day-to-Day Responsibilities:

 * Act as a liaison between infrastructure, technology teams, and business stakeholders
 * Develop a deep understanding of GPLA tools, databases, and data processes
 * Gather and document business requirements and review functional/technical specifications
 * Lead discussions with SMEs and business partners for enhancements and issue resolution
 * Perform moderate to complex business and data analysis to support decision-making
 * Write and review SQL queries for data validation, troubleshooting, and defect resolution
 * Manage end-to-end data acquisition processes across systems and partners
 * Support data infrastructure projects and guide implementation efforts
 * Ensure compliance with data governance, security standards, and regulatory requirements
 * Manage multiple concurrent initiatives in a fast-paced environment


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