Logistics & Inventory Analyst

Job Overview

Provide Analytics & Business Intelligence for Global Freight, Duty, and Inventory. Partner with regional Supply Chain Managers to identify opportunities and drive cost improvement / optimize logistics network. Partner with Finance to ensure all headwinds, tailwinds, and strategic project savings are incorporated in the financial forecast.

• Maintain & report KPIs related to Freight, Duty, Warehousing, and Inventory to drive stakeholder engagement & action
• Act as a liaison between regional supply chain leaders, Global Logistics, and Finance to collect known headwinds tailwinds, and cost reduction projects for inclusion in the quarterly consensus forecast
• Track attainment to forecast every month, including Pareto analysis of any misses & gap closure plan
• Challenge existing targets & identify opportunities for further improvements by partnering with the Global Logistic & Global Trade Services organizations
• Drive adherence & standardization in the Premium Freight approval workflow, including training, specific guidelines for customer liability, and data input and reconciliation at the regional level
• Identify and lead a project(s) that directly contributes to freight and/ or duty cost reduction
• Develop guidelines for inventory stocking strategy (Make-To-Stock / Make-To-Order), Safety Stock, Lot Sizes
• Lead Slow-Moving / Obsolete inventory cadence & drive actions to completion, including End-of-Life procedure
• Integrate with Corporate initiatives for inventory optimization (ABC/FMR, Healthy Stock methodology)

What your background should look like:

• Bachelor's degree in Supply Chain Management, Business Administration, Information Systems, or a related field. A Master's degree is preferred
• Proven experience 5+ years of master data management, data governance, or a related field preferably in a supply chain planning environment.
• Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.
• Proficiency in utilizing master data management tools and systems (e.g., SAP MDG, Informatic MDM, etc.).
• Solid understanding of data governance principles, data quality management, and data lifecycle management.

Competencies