Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
Danish Crown Global Business Services Krakow is seeking a Global HR Master Data Analyst to manage master data in SAP SuccessFactors and support global HR processes.
You will gatekeep data quality, deliver timely service to local HR and managers, and contribute to digitalization and automation initiatives within a dynamic, transformation-focused team.
11/09/2026
POL-Kraków
Danish Crown Global Business Services (GBS) in Krakow is a key part of Danish Crown’s transformation journey. We strive to be a trusted partner to the business by providing scale and standardized, efficient and effective services, thereby achieving the strategic goals of the business.
GBS and its three Centers of Excellence act as the Group Digital Transformation engine for Finance, Procurement, and Master data. Our Operational teams provide global services for Finance, Procurement, Master data, HR, and IT with the ambition to further move up the value chain and expand its service portfolio.
Passion is our protein, and by supporting each other every step of the way - from high potential programs and sustainability certifications to embracing diversity - we’re moving towards the same goal.
Better food. Brighter future
The primary responsibility of the team of 9, is to manage global HR master data and recruiting processes in SAP SuccessFactors. In doing so, it is key to gatekeep the data quality and ensure data validation through data completeness and accuracy, while at the same time deliver high quality service to the business in accordance with agreed Service Level Agreement.
Danish Crown is a company undergoing significant transformation at a global scale, so you need to thrive in a dynamic environment where changes are a large part of the job. Being part of the global transformation is a unique opportunity to shape the role and develop your future career.
You have a proven record of experience and knowledge of HR master data processes with a flair for data and logic.