Senior Data Quality & Governance Analyst

HD Supply Management, LLC; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

HD Supply Management, LLC is seeking a data quality and governance professional to design frameworks, monitor metrics, and cleanse data across SAP WM/EWM systems to optimize inventory and WM operations.

The role requires 5+ years in data quality/governance, a related bachelor’s degree, and strong SQL with Power BI or Tableau. Collaboration with Enterprise Data and cross-functional teams is essential.

Qualifications

• 5+ years in data quality, data governance, or supply chain analytics.
• Bachelor’s degree in Supply Chain Management, Data Science, IS, or related field; or equivalent experience.
• Advanced SQL and Power BI or Tableau experience.
• Experience with SAP ERP and WMS platforms.
• Strong problem-solving and cross-functional communication skills.

Responsibilities

• Establish data governance rules and standards for supply chain data assets.
• Design and maintain dashboards to monitor data completeness and quality.
• Investigate data discrepancies and root causes; implement corrective actions.
• Validate data integrity during ERP/WMS migrations and integrations.
• Collaborate with logistics, procurement, and IT to improve data pipelines.
• Develop SQL queries and Python automation for data cleansing and validation.
• Align data practices with Enterprise Data team policies and governance.

Skills

Data quality

Data governance

Supply chain analytics

Advanced SQL

Power BI

Tableau

Python

SAP

WMS

Education

BS/BA in related discipline

MS/MA in related field

Certification where applicable

Tools

Power BI

Tableau

SQL

Job description

HD Supply Management, LLC is seeking a data quality and governance professional to design frameworks, monitor metrics, and cleanse data across SAP WM/EWM systems to optimize inventory and WM operations.

The role requires 5+ years in data quality/governance, a related bachelor’s degree, and strong SQL with Power BI or Tableau. Collaboration with Enterprise Data and cross-functional teams is essential.