Sr. Supply Chain Optimization Analyst

Dana Incorporated • Maumee, OH

1d

About The Position

Dana is a global leader in the supply of highly engineered driveline, sealing, and thermal-management technologies that improve the efficiency and performance of vehicles with both conventional and alternative-energy powertrains. Serving two primary markets – passenger vehicle and commercial truck – Dana provides the world's original-equipment manufacturers and the aftermarket with local product and service support through a network of nearly 100 engineering, manufacturing, and distribution facilities.Job PurposeThe Sr. Supply Chain analyst leverages advanced analytics, AI‑driven insights, and data science methodologies to optimize material flow, improve forecast accuracy, and strengthen Dana’s global supply chain performance. This role plays a key part in reducing working capital, driving cost‑optimization initiatives, and enhancing decision‑making through predictive analytics and automation.

Requirements

• Bachelor’s degree required; MBA or CPIM/CSCP preferred
• 5+ years of experience in supply chain, materials management, logistics, operations research, or analytics.
• PowerBi.
• Strong problem‑solving skills with focus on cost, working capital, and operational optimization.
• 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 and must be capable of professionally interacting with global manufacturing plants.
• Skilled in composing written correspondence and preparing presentations for senior management.
• Successfully interacts with a dispersed leadership team and others across functions and sites.
• Must be proactive, detail oriented and have excellent organization, planning and follow-through skills.
• Committed to tasks and skilled at identifying and solving a variety of problems of broad scope and complexity with little to no supervision.
• Must be able to work flexible hours.
• Travel required 20%.
• Ability to interact with all levels of the organization, from production associates to senior leaders.
• Function as a team player and be comfortable leading without direction.
• Ability to build credibility and trust.
• Influence leaders and change their paradigm.
• Must be proficient with the use of the Microsoft Office Suite (Outlook, Word, Excel, PowerPoint, and Visio) and other MRP and ERP software.

Nice To Haves

• Experience with AI concepts, predictive modeling, or statistical analysis is highly desirable.
• APICS, Six Sigma and/or Lean Certification a plus.

Responsibilities

• Build and maintain AI‑driven forecasting, inventory optimization, and supply‑risk detection models.
• Apply data science techniques (regression, clustering, anomaly detection, statistical modeling) to identify process inefficiencies and cost‑saving opportunities.
• Develop predictive insights on demand variability, supplier performance, logistics constraints, and inventory exposure.
• Partner with IT and data engineering teams to enhance data pipelines, automate reporting, and integrate AI outputs into MP&L workflows.
• Support AI adoption across plants by training users, interpreting model recommendations, and validating accuracy of automated signals.
• Analyze inventory levels, safety stock models, lead times, and cycle stock to reduce working capital without compromising customer service.
• Identify excess, obsolete, and slow moving inventory drivers and propose data backed reduction strategies.
• Support cost reduction initiatives by analyzing transportation cost trends, supply routes, MOQ impacts, and supplier delivery patterns.
• Create scenario based models to evaluate the cost impact of forecast shifts, production changes, sourcing decisions, or logistics contingencies.
• Monitor working capital KPIs and provide actionable insights to MP&L and Finance.
• Conduct deep dive analysis into material flow, capacity constraints, and MRP exceptions using SAP data.
• Develop real time dashboards and exception reports to improve visibility and streamline decision making.
• Partner with planners, schedulers, MP&L managers, and operations leaders to translate insights into executable actions.
• Support new product launches, engineering changes, and supply readiness activities using data driven assessments.
• Participate in continuous improvement projects focusing on parameter optimization, scheduling accuracy, and inventory efficiency.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level