Leverage advanced analytics, AI‑driven insights, and data science methodologies to optimize material flow
Improve forecast accuracy and strengthen Dana’s global supply chain performance
Reduce working capital and drive cost‑optimization initiatives
Enhance decision‑making through predictive analytics and automation
Build and maintain AI‑driven forecasting, inventory optimization, and supply‑risk detection models
Apply data science techniques to identify process inefficiencies and cost‑saving opportunities
Create scenario based models to evaluate the cost impact of forecast shifts, production changes, sourcing decisions
Develop real time dashboards and exception reports to improve visibility and streamline decision making

Bachelor’s degree required; MBA or CPIM/CSCP preferred
5+ years of experience in supply chain, materials management, logistics, operations research, or analytics
Strong problem-solving skills with focus on cost, working capital, and operational optimization
Experience with AI concepts, predictive modeling, or statistical analysis is highly desirable
SAP experience (MM/PP required; familiarity with MRP logic, BOM structures, and inventory transactions preferred)
Understanding of both the Automotive and Commercial Vehicle industry preferred
Possess excellent communication and interpersonal skills
Must be able to work flexible hours
Travel required 20%.

We believe in facing challenges head-on by finding opportunity and uncovering possibility
Foster a culture of innovation by leveraging the diverse perspectives of our global team
Health insurance
401(k) matching
Flexible work hours
Paid time off

Senior Supply Chain Optimization Analyst

Key skills