Principal Supply Chain Data Engineer & Analytics Lead

Principal Supply Chain Data Engineer and Analytics Lead, driving supply chain transformation through data modeling, analytics, and insights.

• develop scalable data pipelines and models from enterprise systems
• create dashboards, scorecards, and predictive tools
• analyze complex supply chain data to identify risks, opportunities, and operational improvements
• support decision-making with AI-enabled insights
• collaborate with IT to enhance data infrastructure and governance
• promote process automation and standardization

• Bachelor's in supply chain, engineering, data science, or related
• 5+ years in supply chain analytics, data engineering, or consulting
• proficiency with SQL, Python, R, Power BI, Tableau, and familiarity with ERP systems (SAP, Oracle, etc.)
• strong understanding of end-to-end supply chain processes including demand planning, inventory, logistics, and fulfillment
• excellent communication and problem-solving skills, especially in fast-paced environments

• experience supporting logistics transformation, warehouse optimization, and working in regulated industries such as medical devices or pharmaceuticals
• knowledge of supply chain platforms like Kinaxis, Blue Yonder, or Manhattan
• certifications in data analytics, supply chain management, or Lean Six Sigma

U.S. remote.