Automotive Data Master Intern – Catalog & Analytics

Schaeffler; Cuautitlán Izcalli; Presencial; MXN 89.000 - 167.000; Jornada completa

Descripción de la vacante

Schaeffler invites applications for an internship focused on product data management and catalog maintenance in Mexico. The role emphasizes data accuracy, collection of technical information, and collaboration with cross-functional teams to improve portfolio coverage.

The candidate should be pursuing an engineering degree and have an interest in product data, with strong analytical skills and intermediate to advanced English. Excel skills and data analysis know-how are a plus.

Formación

• Pursuing a degree in Mechanical, Automotive, or Industrial Engineering.
• Interest in product data management and coverage analysis.
• Basic understanding of automotive products and specs.
• Experience with Excel and data tools is a plus.
• Strong analytical and detail-oriented approach.
• Good communication and teamwork.
• Intermediate to advanced English.

Responsabilidades

• Support management, validation, and maintenance of product master data.
• Assist in collection and correction of technical product information.
• Analyze part numbers and applications to identify coverage opportunities.
• Evaluate OE and competitor part numbers to support portfolio development.
• Identify data gaps and support corrective actions for data quality.
• Support capture and management of standard and 360° product images.
• Collaborate with cross-functional teams to maintain product records and technical data.
• Prepare reports and analyses related to product data and portfolio management.
• Follow up on assigned tasks and projects with proper documentation.

Conocimientos

Excel

Data analysis

English (intermediate-advanced)

Attention to detail

Cross-functional collaboration

Educación

Engineering degree

Herramientas

Excel

Descripción del empleo

Schaeffler invites applications for an internship focused on product data management and catalog maintenance in Mexico. The role emphasizes data accuracy, collection of technical information, and collaboration with cross-functional teams to improve portfolio coverage.

The candidate should be pursuing an engineering degree and have an interest in product data, with strong analytical skills and intermediate to advanced English. Excel skills and data analysis know-how are a plus.