Senior Cyber Data QA Analyst SQL & Data Testing

Axiom Path•Charlotte, NC
•Hybrid

About The Position

The Senior Cyber Data QA Analyst works in a Cyber Data Operations environment supporting a global financial institution. The role validates cybersecurity data warehouse solutions and data-driven dashboards, helping ensure accurate, reliable information for business and security stakeholders. It collaborates with cybersecurity data, data warehouse, development, and business teams in an Agile environment. The analyst develops test strategies, plans, cases, and scripts; tests data and application functionality; uses SQL to investigate data quality; and supports defect resolution and QA process improvements. The opportunity is W2 only (no C2C/1099) and hybrid in Charlotte, North Carolina.

Requirements

  • 7–10+ years of experience in software quality assurance, software testing, data testing, or closely related business systems analysis.
  • Strong hands-on SQL skills, including joins, CTEs, data reconciliation, data validation, and identifying data outliers.
  • Experience testing data-intensive applications, databases, reporting solutions, dashboards, or data warehouse environments.
  • Experience developing and executing functional, regression, integration, and UAT test scenarios.
  • Strong knowledge of defect management and test-management processes using Jira.
  • Understanding of the SDLC and Agile/Scrum delivery methodologies.
  • Strong analytical and troubleshooting skills with excellent attention to detail.
  • Ability to translate requirements into structured test scenarios and maintain clear testing documentation.
  • Effective written and verbal communication skills and ability to collaborate across development, business, and technical teams.

Nice To Haves

  • Financial-services or banking experience.
  • Experience with Confluence.

Responsibilities

  • Develop test strategies, test plans, test cases, and test scripts from technical and business requirements.
  • Validate data and application functionality through functional, regression, integration, and user acceptance testing.
  • Use SQL for data-quality testing, including identifying discrepancies, outliers, transformation issues, and unexpected results.
  • Test Cyber Data Warehouse datasets and cybersecurity dashboard outputs against requirements and expected data.
  • Identify, document, prioritize, and track defects, partnering with developers and technical teams through resolution.
  • Maintain requirements-to-test traceability and QA documentation throughout the software development lifecycle.
  • Participate in Agile/Scrum ceremonies and provide feedback on usability, stability, and data quality.
  • Help improve QA processes, testing standards, documentation, and automation practices across the Cyber Data Operations team.
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