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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, capac

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