• Utilize logistical engineering methods to understand, predict, and/or improve supply chain operations and efficiencies. • Provide consistent, relevant, and accurate data analyses and support engineering decisions using data driven methods. • Develop domestic and global end-to-end supply chain network baselines. • Build interfacing element tables, including products, sites, demand, sourcing policies, transportation policies, and inventory policies. • Extract data from enterprise resource planning and business intelligence environments. • Refine data issues via rule-based attribute, record, cell, and consistency (ARCC) processes. • Analyze “service only” and “low cost” baseline models. • Model current and future state scenarios and cost/service implications. • Prepare Greenfield and/or Brownfield cost-benefit and break even analyses. • Improve product flow paths, including inbound consolidation, cross docking, port selection, and vendor direct strategies. • Translate complex system models (Llamasoft, Tableau) into executive-level presentations with analyses and data driven recommendations. • Collaborate with Route Optimization to develop optimized transportation networks, including routes, modes, schedules, and fleets. • Evaluate safety stock inventory levels and facility stocking strategies as needed.