Plant Master Data AnalystSchneider Electric is looking for a
Plant Master Data Analyst (PMDA) to support data accuracy and material master processes within a manufacturing environment.
In this role, you will support end-to-end data validation for Customer Product Deployment, helping ensure production readiness for high-volume and repeatable product designs. You will work closely with different teams to maintain accurate and reliable master data, support new material creation, and troubleshoot SAP-related data issues.
What will you do?- Validate data associated with New Material Creation (NMC) workflows
- Create new part numbers in SAP / Global Material Repository (GMR)
- Create and maintain part numbers at plant level
- Follow up on NMC workflow completion
- Validate BOM, usage, valuation class, and costing
- Support SAP part activation
- Maintain and troubleshoot master data within SAP
- Support procedures designed to improve inventory accuracy
- Work cross-functionally to resolve data-related issues and support internal customers
What qualifications will make you successful?- Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Supply Chain Management, Information Systems Management, or a related field
- 2-3+ years of experience in a manufacturing environment supporting SAP data management
- 3+ years of experience working with SAP ERP
- Experience with material master data, part numbers, BOMs, costing, or similar manufacturing data processes
- Strong attention to detail and ability to work cross-functionally
What's in it for me? - High-impact role where your analysis directly influences business strategy
- Collaborative team environment that values innovation and continuous improvement
- Professional growth opportunities with exposure to diverse data challenges
- Supportive culture that invests in your development and success
Bring your analytical expertise to a team that's ready to welcome you - apply today!
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€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
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Responsibilities
Plant Master Data AnalystSchneider Electric is looking for a
Plant Master Data Analyst (PMDA) to support data accuracy and material master processes within a manufacturing environment.
In this role, you will support end-to-end data validation for Customer Product Deployment, helping ensure production readiness for high-volume and repeatable product designs. You will work closely with different teams to maintain accurate and reliable master data, support new material creation, and troubleshoot SAP-related data issues.
What will you do?- Validate data associated with New Material Creation (NMC) workflows
- Create new part numbers in SAP / Global Material Repository (GMR)
- Create and maintain part numbers at plant level
- Follow up on NMC workflow completion
- Validate BOM, usage, valuation class, and costing
- Support SAP part activation
- Maintain and troubleshoot master data within SAP
- Support procedures designed to improve inventory accuracy
- Work cross-functionally to resolve data-related issues and support internal customers
What qualifications will make you successful?- Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Supply Chain Management, Information Systems Management, or a related field
- 2-3+ years of experience in a manufacturing environment supporting SAP data management
- 3+ years of experience working with SAP ERP
- Experience with material master data, part numbers, BOMs, costing, or similar manufacturing data processes
- Strong attention to detail and ability to work cross-functionally
