ERP Master Data Analyst & Governance

ERPrecruit; Antwerpen; Sur place; EUR 42 000 - 62 000; Plein temps

Résumé du poste

ERPrecruit seeks a Data Management Analyst to ensure the accuracy, setup, maintenance, and integrity of master data across ERP systems and business applications in Belgium, including Kontich and Antwerp. You will keep data high-quality and reliable and collaborate with IT and business teams to meet data requirements.

The role emphasizes governance, quality, lifecycle management, and data modelling, with emphasis on stakeholder engagement and process improvement.

Qualifications

• Minimum 2 years' experience in Master Data Management or a closely related data management role.
• Experience with ERP systems, ideally JDE or a similar platform.
• Experience in data governance or data quality.
• Intermediate proficiency in SQL and data analysis tools.
• Strong Microsoft Excel skills including PivotTables and lookups.

Responsabilités

• Execute master data setup, maintenance, and configuration across ERP systems and other business applications.
• Manage master data requests through workflow tools and central mailboxes with SLAs.
• Collaborate with internal and external stakeholders to follow data management processes and policies.
• Identify and resolve master data discrepancies and data quality issues.
• Provide master data support to business functions and align data requirements with IT.

Connaissances

Analytical skills

Stakeholder management

Problem solving

Attention to detail

Data-driven decision making

Communication skills

Formation

IT / Computer Science / Data Management degree

Outils

SQL

Excel

PivotTables

PowerPoint

Description du poste

ERPrecruit seeks a Data Management Analyst to ensure the accuracy, setup, maintenance, and integrity of master data across ERP systems and business applications in Belgium, including Kontich and Antwerp. You will keep data high-quality and reliable and collaborate with IT and business teams to meet data requirements.

The role emphasizes governance, quality, lifecycle management, and data modelling, with emphasis on stakeholder engagement and process improvement.