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Requisition: 64616

Job Duties and Responsibilities

Data Modeling, Pipelines & Engineering (Core Focus)

- Design, build, and maintain SQL‑based data models and transformations using dbt (data build tool) as the primary development framework.
- Develop scalable, well‑tested data pipelines integrating SAP, logistics systems, planning tools, and external sources.
- Implement data quality tests, documentation, and version control practices consistent with modern analytics engineering standards.
- Ensure semantic consistency, reproducibility, and strong governance across data domains (inventory, demand, supply, logistics, procurement).

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.
- 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
- Minimum of +-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.
- 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 general 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.
- Ability to function as a team player and be comfortable leading without direction.
- Ability to build credibility and trust.
- Ability to 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.
- APICS, Six Sigma and/or Lean Certification a plus.

Join our team of 28,000 problem solvers who are fostering a culture of innovation by leveraging the diverse perspectives of our global team. We believe in facing challenges head-on by finding opportunity and uncovering possibility, where roadblocks and barriers become targets instead of obstacles. We are One Dana with limitless opportunity.

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📌 Supply Chain Analytics Engineer (Santiago de Querétaro)
🏢 Dana Canada
📍 Santiago de Querétaro