Senior Data Quality Analyst

HD Supply•Atlanta, GA
•Onsite

About The Position

This role designs frameworks, monitors key metrics, and helps cleanse data across SAP WM / EWM systems to optimize inventory, procurement, and WM system operations. The Senior Data Quality Analyst identifies key barriers/core problems and applies problem-solving skills to deal creatively with complex situations. They troubleshoot and resolve complex problems, making decisions under conditions of uncertainty, sometimes with incomplete information, that produce effective end results. The role involves independently performing assignments with instruction limited to the expected results, determining and developing an approach to solutions, and receiving technical guidance only on unusual or complex problems or issues. This position may oversee the completion of projects and assignments, including planning, assigning, monitoring, and reviewing progress and accuracy of work, evaluating results, and contributing to employees' professional development, but does not have hiring or firing authority.

Requirements

  • 5+ years in data quality, data governance, or supply chain analytics.
  • Bachelor's degree in Supply Chain Management, Data Science, Information Systems, Industrial & Systems Engineering, or a related discipline. Equivalent combinations of education and relevant experience may be considered.
  • Advanced SQL, and Power BI or Tableau.
  • Deep familiarity with ERPs like SAP and WMS platforms.
  • Excellent problem-solving abilities and clear cross-functional communication.
  • Working with Enterprise Data team.

Responsibilities

  • Establishes comprehensive data governance rules and operational standards for supply chain data assets to ensure efficient, seamless product flow across the distribution network.
  • Designs and maintains automated monitoring dashboards to continuously evaluate, track, and report on data completeness and quality metrics.
  • Investigates systemic data discrepancies and complex root causes—such as inaccurate supplier lead times—to implement robust corrective and preventive actions.
  • Validates critical data integrity and alignment during enterprise system migrations, technology enhancements, and integrations across SAP ERP and WMS platforms.
  • Partners with cross-functional logistics, procurement, and IT stakeholders to resolve workflow bottlenecks and improve end-to-end data pipelines.
  • Develops custom SQL queries and Python automation scripts to streamline data cleansing, extraction, and validation routines.
  • Collaborates closely with the Enterprise Data team to align supply chain data practices with organizational architecture, security, and governance standards.
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