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For one of our key clients – a global leader in the Fast-Moving Consumer Goods (FMCG) sector – we are seeking a motivated and analytical professional for the position of Data Quality Analyst. This is a unique opportunity to join a purpose-driven organization and play a vital role in a large-scale digital transformation project that redefines global data standards.
Experience: A Bachelor’s degree in IT (or equivalent experience) and a proven track record in Master Data Management and Data Analysis.
Technical Proficiency: Strong practical knowledge of SAP ECC and MS SQL.
Analytical Skills: The ability to perform detailed analysis to identify trends and opportunities for data improvement.
Communication: Proficiency in English (written and oral) and the ability to collaborate effectively with multi-national teams.
Modern Data Solutions: A good understanding of Data Models and an awareness of Machine Learning (ML) solutions.
Nice to have: Experience in the FMCG industry; familiarity with Python, Data Lake, Databricks, or SAP Information Steward/Data Services.
Employment agency entry number 47
this job offer is intended for people over 18 years of age
Global Impact: Work with a diverse team of talented associates worldwide on the "Digital Core" project, influencing how data is managed on a global scale.
Professional Development: Access to world-class learning resources and internal development programs from your first day.
Purpose-Led Culture: Join a company that is committed to building a better world for tomorrow through its core principles and values.
Innovative Environment: The chance to work with cutting-edge data management tools and participate in a major organizational evolution.
Standardization & Governance: Liaising with Data Champions and Governance Leads to translate business standards into technical DQ rules, including testing, training, and rollout.
Process Implementation: Actively influence and support global tools and frameworks to ensure high-quality master data for the Digital Core project.
Data Cleansing Leadership: Driving projects for large-scale data cleansing and executing test cases to validate mass cleansing routines.
Technical Collaboration: Providing development specifications to DQ DevOps teams and managing delivery through AGILE processes (JIRA).
Root Cause Analysis: Supporting project leads in identifying and resolving root causes related to Master Data issues.
Asset Management: Documenting and maintaining Data Quality related assets and knowledge in the internal project Wiki.