Master Data Lead at Champion Petfoods
2 days ago
Edmonton, Division No. 11, Canada
Mars (New)
Full-time
$110,000 - $140,000 Contract
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Become a pivotal player at Champion Petfoods as a Master Data & Analytics Lead – Supply Chain. Shape data governance and analytics for our award-winning pet food operations
We are seeking an experienced individual to oversee master data integrity and analytical frameworks in our supply chain team. This hybrid role requires technical ownership of systems like Infor M3 ERP and hands-on leadership in cross-functional analytics. You will partner with various departments, including PMO and IT, to facilitate data-driven decision-making in our growing company.
Key Responsibilities
• Govern master data integrity across enterprise systems
• Ensure accurate data synchronization with downstream channels
• Lead end-to-end configurations for new products
• Perform multi-variable root-cause analysis on operational issues
• Design and maintain critical supply chain KPI dashboards
Requirements:
• Bachelor’s in Supply Chain Management or related field
• 3–5 years in master data management or analytics
• Hands-on experience with ERP systems
• Proficiency in Microsoft Excel and BI tools
• Strong cross-functional communication skills Bring your analytics expertise and passion for data to help Champion Petfoods excel in the pet food industry
Key Responsibilities
• Govern master data integrity across enterprise systems
• Ensure accurate data synchronization with downstream channels
• Lead end-to-end configurations for new products
• Perform multi-variable root-cause analysis on operational issues
• Design and maintain critical supply chain KPI dashboards
Requirements:
• Bachelor’s in Supply Chain Management or related field
• 3–5 years in master data management or analytics
• Hands-on experience with ERP systems
• Proficiency in Microsoft Excel and BI tools
• Strong cross-functional communication skills Bring your analytics expertise and passion for data to help Champion Petfoods excel in the pet food industry