Logistics Analyst

Job Overview

• 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 Logistics & 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.
• Proven experience of 5+ years in 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, Informatica MDM, etc.).
• Solid understanding of data governance principles, data quality management, and data lifecycle management.
• Experience with data analysis and reporting, using tools such as Excel, Tableau, or Power BI.
• Excellent analytical and problem-solving skills, with a keen attention to detail. Need to be detail-oriented and able to communicate to cross-functional teams.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Demonstrated leadership abilities, with a track record of successfully leading and executing data-related projects.
• Ability to work in a fast-paced and dynamic environment, managing multiple priorities and deadlines effectively.
• Extensive spreadsheet analysis and strong mathematical abilities.
• Must be detail-oriented and able to communicate with cross-functional teams.
• Able and willing to work necessary hours to meet all project deadlines, and travel when necessary.

Competencies