Data Management Specialist

Hands-on data role in an international Operations environment. Data Management Specialist with solid experience working with data and a strong focus on quality, structure, and consistency. In this hands-on role, you will support the maintenance, improvement, and standardization of operational data to enable reporting and process efficiency across Operations. The position offers a clearly defined specialist scope, operational ownership, and exposure to international teams, within an established data governance framework.

• Have 3–5+ years of experience working with data in Operations, Supply Chain, IT, BI, or a similar area.
• Have a good practical understanding of data management principles (data quality, standards, validation, maintenance).
• Have hands-on experience with SAP, including working with master or transactional data.
• Have experience with Power BI and are familiar with data environments such as Azure and/or Snowflake.
• Are comfortable working with data on a daily, operational level, while understanding the broader business context.
• Communicate well with stakeholders and can explain data topics in a clear, practical way.
• Speak English at B2 level or higher and are comfortable working with international teams.
• Have an academic background in IT, data analytics, engineering, economics, or a related field.
• Are well organised, detail-oriented, and proactive in solving data-related problems.

• Maintaining and improving the quality, structure, and consistency of operational data in line with defined standards.
• Supporting the implementation and adherence to data management and data governance rules within the Operations area.
• Performing data analysis, validation, and reconciliation to support reporting and business decision-making.
• Working with SAP data structures, understanding dependencies and impacts across systems.
• Preparing reports and dashboards using Power BI and supporting analytical needs of stakeholders.
• Cooperating with IT, Supply Chain, and other functions to ensure reliable and well-maintained data.
• Identifying data issues and proposing practical, incremental improvements to data processes and ways of working.
• Supporting data-related initiatives and projects from an operational and specialist perspective.

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