6 months contract (hybrid)

Reliability and sustainability are at the heart of what Sherwin Williams does. We are committed to strengthening our Procurement capability across the region to support strategic growth. We are currently seeking a temporary Sourcing Data Analyst to support the European Sourcing team on several critical data‑quality and compliance improvement projects to be based at our office in Rzeszów, Poland.

The role focuses on reviewing, updating, and improving key product master data – specifically Country of Origin (COO) and Commodity Codes (HS/TARIC codes) – to prevent shipment delays and ensure accurate export documentation. Additionally, the analyst will assist with data collection, validation, and reporting required for compliance with the UK Plastic Packaging Tax (PPT).

Procurement experience including below will be an asset:

• Strong attention to detail and accuracy.
• Solid analytical skills; ability to work with large datasets in Excel or similar tools.
• Ability to collaborate cross functionally and communicate clearly across multi-levels of an organization to ensure consistency
• Comfortable working in a structured, process-driven environment.
• Ability to learn systems quickly (ERP, master data tools, etc.).
• Worked within a complex supply chain
• Operated within an ERP environment
• Prior experience operating effectively within a multi-national and matrix organization
• Developed and analyzed reports
• Ensured compliance with department policies and procedures and applicable laws, rules, and regulations.
• English skills on advanced level

EDUCATIONAL REQUIREMENTS:

• Bachelor’s degree in Business Administration or equivalent education and experience.

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Core activities critical to enabling success in this role will include:

• Data Quality & Master Data Improvement. Collect, review, validate and process critical data.

• Serve as liaison and maintain specific department components of the supply chain. Collaborate with internal stakeholders to gather missing or corrected data.

• Identify discrepancies and implement corrections in the relevant ERP systems.

• Support the creation of standardized documentation and guidelines for future data maintenance.