Master Data Specialist – Supply Chain (Hybrid, SAP)

Atlas Copco Airpower N.V.

Stockholms kommun

On-site

SEK 450,000 - 650,000

Full time

9 days ago
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Job summary

Atlas Copco Sweden Stockholm is seeking a Supply Chain Specialist - Master Data to ensure accurate, structured master data and support material availability across the distribution network. You will manage material records in SAP and collaborate with multiple stakeholders to drive efficient planning and reliable delivery.

The role emphasizes data quality, attention to detail, and a proactive approach to resolving data gaps while contributing to smarter, scalable master data processes in a hybrid

Qualifications

  • Experience with master data and data management in supply chain/logistics.
  • Ability to ensure accurate, complete material data for planning and ordering.
  • Demonstrated willingness to learn and collaborate with stakeholders.

Responsibilities

  • Create and maintain materials in SAP, ensuring correct data is available when needed.
  • Follow up on data quality, resolve errors and support material availability.
  • Support engineering changes, reactivations, phase-outs, Last Time Buys and related analysis.
  • Collaborate across supply chain planning, plants, sourcing, logistics, production, marketing, trade and spare parts.
  • Ask questions, follow up, and establish structure when information is missing or priorities shift.

Skills

Master data management
Data quality
Analytical mindset
Stakeholder collaboration

Education

Bachelor's degree in a relevant field

Tools

SAP

Job description

Atlas Copco Sweden Stockholm is seeking a Supply Chain Specialist - Master Data to ensure accurate, structured master data and support material availability across the distribution network. You will manage material records in SAP and collaborate with multiple stakeholders to drive efficient planning and reliable delivery.

The role emphasizes data quality, attention to detail, and a proactive approach to resolving data gaps while contributing to smarter, scalable master data processes in a hybrid

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