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Supply Chain Analytics Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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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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