Materials Data Analyst (Monterrey)

Material Data Analyst for the Reconditioning Program – responsible for analyzing Bills of Materials (BOMs) and transforming legacy engineering BOMs to reconditioning BOMs. Cross‑functional collaboration with engineering, sourcing, and production teams to ensure accuracy in BOMs, material specifications and availability. Analysis of historical and current data to assess material usage trends, lead times, and cost implications. Strong attention to detail, data management skills and ability to work in a fast‑paced, dynamic environment are required.

Responsibilities

• Review Bills of Materials (BOMs) for current and legacy machines
• Interpret engineering BOMs and translate them to reconditioning BOMs
• Support information transfer related to BOMs and ECOs between Genie and Genie Reconditioning
• Create processes and methodologies for collecting relevant supply chain data
• Analyze data to identify issues and recommend process improvements
• Plan and execute supply chain optimization projects
• Define requirements and standards for packaging, procurement, delivery, and warehousing
• Collaborate with IT professionals to implement and maintain effective systems
• Track key performance indicators (KPIs) and report on supply chain performance
• Develop tools to identify data gaps from MRP and DMD planning perspectives
• Respond to ad‑hoc data requests and support cross‑functional teams as needed

Qualifications

• Experience as a Supply Chain Analyst, Logistics Coordinator or similar role
• Experience in data mining, analysis and reporting using SQL / Python / R
• Familiarity with supply chain processes (e.g., inventory planning, production management)
• Working knowledge of MS Office, relational databases, Oracle and MRP systems
• Analytical mind with business acumen and problem‑solving aptitude
• Attention to detail and excellent communication skills
• BSc/BA in Logistics, Business Analytics, Mathematics or a related field
• Demonstrated ability to collaborate cross‑functionally and garner influence without formal authority
• Demonstrated ability to drive process improvements and strong analytical skills
• Excellent written and oral communication in English – fluent and highly proficient
• Strong background in mathematics and data management

If you are interested in an open position but feel you may not meet all the listed qualifications, we still encourage you to apply.

We see inclusion as a key to our success and are committed to actively foster a culture where every team member feels valued, listened to, and appreciated. We are committed to being fair and impartial in our decisions, ensuring equity within our workplace. As an Equal Opportunity Employer, employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law.