Senior Data Quality Analyst, SAP/WMS & Supply Chain

HD Supply Management, LLC (USA)

Atlanta (GA)

On-site

USD 90,000 - 140,000

Full time

7 days ago
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Job summary

HD Supply is seeking a data governance and analytics professional to design frameworks, monitor key metrics, and cleanse data across SAP WM/EWM systems. The role focuses on optimizing inventory, procurement, and warehouse management operations within a robust enterprise data environment.

The ideal candidate has 5+ years in data quality or governance, strong SQL skills, and experience with SAP ERP and WMS platforms, plus cross-functional collaboration to enhance end-to-end data pipelines.

Qualifications

  • 5+ years in data quality, data governance, or supply chain analytics.
  • Bachelor's degree in a related discipline; equivalent combinations may be considered.
  • Advanced SQL proficiency and BI tool experience (Power BI or Tableau).

Responsibilities

  • Establish data governance rules and standards for supply chain data assets.
  • Design and maintain dashboards to monitor data completeness and quality metrics.
  • Investigate data discrepancies and drive corrective actions.
  • Validate data integrity during ERP migrations and system upgrades across SAP ERP and WMS platforms.
  • Collaborate with cross-functional teams to resolve data bottlenecks and improve data pipelines.
  • Develop custom SQL queries and Python scripts to automate data cleansing and validation.

Skills

SQL
Power BI
Tableau

Education

BS/BA in related field

Tools

SAP ERP
WMS platforms

Job description

HD Supply is seeking a data governance and analytics professional to design frameworks, monitor key metrics, and cleanse data across SAP WM/EWM systems. The role focuses on optimizing inventory, procurement, and warehouse management operations within a robust enterprise data environment.

The ideal candidate has 5+ years in data quality or governance, strong SQL skills, and experience with SAP ERP and WMS platforms, plus cross-functional collaboration to enhance end-to-end data pipelines.

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