Supply Chain Analytics Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Supply Chain Analytics Engineer: Builds and maintains data foundations powering advanced analytics and AI-driven insights across global supply chain with an accent on data modeling, pipelines, and predictive analytics. Focus on developing forecasting models, inventory optimization, supply-risk detection, and working capital reduction strategies.
Location: Queretaro, Querétaro, MX; Tlalnepantla, Mexico State, MX; Escobedo, NLE, MX (travel required 20%+)
Company
Global automotive parts manufacturer with 28,000 employees fostering innovation through diverse perspectives.
What you will do
- Design, build, and maintain SQL-based data models and transformations using dbt, integrating SAP, logistics, and planning tools.
- Develop scalable data pipelines with data quality tests, documentation, and governance for inventory, demand, supply, logistics, and procurement.
- Build AI-driven forecasting, inventory optimization, and supply-risk models using regression, clustering, anomaly detection, and statistical techniques.
- Analyze working capital, inventory levels, lead times, and costs to propose reduction strategies and scenario models.
- Conduct deep-dive analyses on material flow, capacity, and MRP exceptions; create real-time dashboards and reports.
- Partner with planners, operations leaders, and support new product launches and continuous improvement projects.
Requirements
- Bachelor’s degree required; MBA or CPIM/CSCP preferred.
- 2-5 years in supply chain, materials management, logistics, operations research, or analytics.
- Experience with PowerBI, SAP (MM/PP required; MRP, BOM, inventory preferred).
- Strong problem-solving focused on cost, working capital, and optimization.
- Excellent communication and interpersonal skills for global manufacturing plants and senior management.
- Proficient in Microsoft Office Suite and ERP/MRP software; flexible hours and 20%+ travel.
Nice to have
- AI concepts, predictive modeling, or statistical analysis experience.
- Understanding of Automotive and Commercial Vehicle industry.
- APICS, Six Sigma, or Lean Certification.
Culture & Benefits
- Team of problem solvers fostering innovation and diverse perspectives.
- Values: Value Others, Inspire Innovation, Grow Responsibly, Win Together.
- Culture of facing challenges head-on, turning roadblocks into opportunities.
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