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Master Data Analyst

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Onsite

Master Data Analyst

Adavo

Master Data Analyst

Skills

Business DevelopmentSAP ERPBusiness Transformation

7 days ago

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Important information


Contract type:

Permanent

Location:

Stockholm, Sweden

Work mode:

Onsite

Published on:

13 October 2026

What they need


Start date: ASAP
End date: Option to extend
Scope: 100%
Location: Hybrid, Stockholm, Hamburg

Assignment description
Our client is looking for an experienced Master Data Analyst. You will join a central data management function in a large international manufacturing company with operations and customers around the world.

The assignment suits someone who has worked with master data for several years and is used to taking broad responsibility. You understand how data, processes and systems connect across the value chain. You make sure global master data is correct, consistent and useful as a basis for decisions and business development.

The work covers improvement initiatives, process development, automation and coordination between the business, IT and different sites within the master data area.

Example tasks:

  • Lead and take part in improvement initiatives and projects within master data management.
  • Design and set up processes that keep master data quality and consistency high.
  • Simplify and automate data workflows across sites, systems and functions.
  • Develop and streamline how the organisation works in its SAP environment.
  • Help the business use data as a foundation for business development.

Must-have requirements

  • A master’s degree in computer science or a related field, or extensive equivalent practical experience.
  • Proven experience in Master Data Management.
  • Experience with SAP ERP, especially the SD and MM modules and building queries.
  • Experience from at least 3 large, cross-functional projects.
  • Fluent English, spoken and written.

Nice to have

  • Experience with SAP S/4HANA and SAP MDG.
  • A background in business transformation or development with an end-to-end value chain perspective.
  • Experience in conceptual data modelling.

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