
Product Data Analyst
Tommy Hilfiger
Product Data Analyst
Tommy Hilfiger is hiring a Product Data Analyst for its Amsterdam office to ensure product data accuracy and integrity across systems. The role involves monitoring data quality, performing root cause analysis, and collaborating with cross-functional teams. Ideal candidates have 3+ years of experience in product data management or analysis, advanced Excel skills, and familiarity with SAP, PLM, or PIM systems.
Product Data Analyst
Tommy Hilfiger is hiring a Product Data Analyst for its Amsterdam office to ensure product data accuracy and integrity across systems. The role involves monitoring data quality, performing root cause analysis, and collaborating with cross-functional teams. Ideal candidates have 3+ years of experience in product data management or analysis, advanced Excel skills, and familiarity with SAP, PLM, or PIM systems.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Ensure product data is complete, accurate, compliant, and consistent across systems at every key milestone.
- Monitor product data quality through reporting, analysis, and KPI tracking.
- Execute timely and accurate product data setup to support sell-in readiness.
- Perform root cause analysis on data quality issues, implementing corrective actions and identifying opportunities for process standardization, automation, and operational efficiency.
- Collaborate with cross-functional teams including Product, Planning, IT, and Data teams to ensure product data requirements are met.
- Manage and support product data processes within SAP FMS, PLM, and PIM systems.
- Collect, validate, and analyze product data to identify risks, inconsistencies, and milestone adherence.
- Develop and maintain dashboards and reports to provide visibility into product data performance.
- Provide guidance and support to stakeholders on product data standards, governance, and best practices.
- Contribute to the continuous improvement of Product Data processes, tools, training materials, and ways of working.