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As our Supply Chain Analyst, you'll play a key role in strengthening the Industrial Division's supply chain by managing logistics and transit master data, supporting global trade activities, and ensuring clean, reliable master data for Hotel and DLC plants.
Your impact You will improve data accuracy, enhance logistics visibility, and streamline coordination across plants and global teams-helping reduce costs, support compliance, and enable faster, more informed decision-making.
You'll collaborate with Engineering, Plant Operations, GTM/GTS, and the Global Inventory team while owning core processes such as master data management, reporting & analytics, and support on key KPIs like logistics cost, ECCN/GTM, data quality, inventory, and OTD.
Lead logistics and cost-out initiatives by partnering with operations, shipping, and freight procurement teams to drive cost savings, optimize routes, and improve overall logistics efficiency.
Support engineering, GTM, finance, and plant teams by updating ECCN/HS codes, mapping costs to customers, reviewing master data, and ensuring alignment with ID policies and manufacturing sites.
Collaborate with cross-functional teams-including DLC/Hotel plants, procurement, engineering, finance, and GTM-to strengthen delivery performance, volume analysis, and master data accuracy.
Use your skills in data analysis and master data management to improve OTD, PD KPIs, STO order alignment, buying-selling location accuracy, and overall operational performance.
Continuously learn and maintain proactive service excellence by staying responsive to plant/division needs, sharing insights, and ensuring disciplined and customer-focused support to all sites.
If this role excites you, we'd love to hear from you! Apply now to start the conversation and learn more about where your career can go with us.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.
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Job ID: 132913907