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Sr. Supply Chain Optimization Analyst

Job in Maumee, Lucas County, Ohio, 43537, USA
Listing for: Dana Canada Corp.
Full Time position
Listed on 2026-02-16
Job specializations:
  • Business
    Data Analyst, Business Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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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 Purpose
Job Duties and Responsibilities

AI, Data Science & Predictive Analytics

• 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.

Working Capital & Cost Optimization

• 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.

Supply Chain Operations & Analytics

• 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.

Education and Qualifications
  • Bachelor’s degree required; MBA or CPIM/CSCP preferred
  • 5+ years of experience in supply chain, materials management, logistics, operations research, or analytics.
  • Power Bi.
  • 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 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%.
Skills and Competencies
  • 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…
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