ERP Data Master - BOM & Data Integrity

Price Industries Inc

Winder (GA)

On-site

USD 55,000 - 75,000

Full time

14 days+

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Job summary

Price Industries, Inc. is seeking a Data Support Specialist for our U.S. Operations team in the Winder/Lawrenceville, GA area.

The role focuses on ensuring accuracy, consistency, and integrity of ERP master data, while supporting ERP/PLM data coordination and system enhancements. You will collaborate with engineering, supply chain, quality, and accounting teams to support costing accuracy, data entry corrections, and ongoing data quality initiatives.

Qualifications

  • Experience with ERP / PLM data management and data integrity.
  • Manufacturing ERP experience preferred.
  • Strong data accuracy and auditing skills.

Responsibilities

  • Configure and maintain master data within the ERP system.
  • Create, update, validate, and audit data records for accuracy.
  • Coordinate item and BOM data between ERP and PLM across locations.
  • Collaborate with design engineering, supply chain, quality, and accounting to ensure costing accuracy.
  • Assist engineering teams with data entry and system updates.
  • Investigate and resolve data integrity issues; support data quality initiatives.
  • Participate in system implementations, enhancements, and process improvements.
  • Provide troubleshooting support and assist with user training and documentation.

Skills

ERP systems
Data analysis
Data management
BOMs
Cross-functional collaboration
Excel
Attention to detail
Troubleshooting
Documentation
Communication

Education

High school diploma
Post-secondary education related to ERP/PLM

Tools

PLM system

Job description

Price Industries, Inc. is seeking a Data Support Specialist for our U.S. Operations team in the Winder/Lawrenceville, GA area.

The role focuses on ensuring accuracy, consistency, and integrity of ERP master data, while supporting ERP/PLM data coordination and system enhancements. You will collaborate with engineering, supply chain, quality, and accounting teams to support costing accuracy, data entry corrections, and ongoing data quality initiatives.

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