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Supply Chain Management & Industrial Engineering Majors

Majors in Supply Chain Management or Industrial Engineering are appreciated in our Product Supply function, which is responsible for all direct and indirect manufacturing of our products. Our Supply Chain, Quality, Logistics, and Procurement departments support the manufacturing of our goods, from beverages to appliances. See where your major could fit in with us:

Supply Chain Analyst
  • Facilitate decision-making and process improvement for the Supply Chain Planning and Logistics Team through development and use of data queries, analysis, and reports
  • Support critical processes such as Production Scheduling, Materials Planning, Manufacturing Process Improvements, Inventory Planning, Capacity Planning and Distribution Resource Planning
  • Develop database forms, tables, queries, calculations, and reports from PeopleSoft and other data sources
Distribution Analyst
  • Provide professional analysis, technical, and management support to the Product Supply Logistics Group
  • Work on projects requiring carrier cost analysis, request for proposal (RFP) assistance, meeting internal and external customer requirements, designing reports and databases 
  • Conduct data queries to provide accurate and timely answers to operations related questions 
  • Partner to surface, suggest, and implement sustainable solutions for distribution planning
Industrial Engineering
  • Work on projects requiring productivity, space planning, and financial cost analysis 
  • Design reports, presentations, and analytics to support supply chain and logistics projects
  • Partner to surface, suggest, and implement sustainable solutions for Supply Chain/Logistics planning, capacity and capability, productivity, and network optimization
Manufacturing/Systems Engineering
  • Assist the Operational Excellence team in tracking and analyzing data to identify improvement opportunities including increased uptime/product quality through root cause analysis, problem solving, data-driven analysis, decision making, and waste elimination
  • Drive production efficiency gains through data-driven decision making
  • Use statistical data analysis of critical process indicators where possible