Automotive Data & Catalog Intern - Master Data Focus

Schaeffler

Cuautitlán Izcalli

Presencial

MXN 120.000 - 180.000

A tiempo parcial

hace 13 horas
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Descripción de la vacante

Schaeffler invites applications for a role focused on product data management and catalog content in Mexico. You will support master data maintenance, collect technical information, and aid in coverage analysis to support portfolio development.

The position targets students pursuing engineering degrees with strong analytical and collaborative skills. Join a global technology leader with opportunities in data governance and process improvement in an automotive context.

Formación

  • Pursuing a degree in Mechanical Engineering, Automotive Engineering, Industrial Engineering, or related field.

Responsabilidades

  • Support the management, validation, and maintenance of product master data across internal systems.
  • Assist in collecting, reviewing, and correcting technical product information (weights, dimensions, attributes).
  • Support analysis of part numbers, references, and applications to identify coverage opportunities and portfolio gaps.
  • Assist in evaluating OE and competitor part numbers to support coverage analysis and product portfolio development.
  • Identify data gaps and inconsistencies and support corrective actions to improve data quality.
  • Support capture and management of standard and 360° product images for catalog content.
  • Collaborate with cross-functional teams to maintain accurate product records and data.

Conocimientos

Data analysis
Attention to detail
Cross-functional collaboration
English proficiency

Educación

Mechanical/Automotive/Industrial Engineering or related field

Descripción del empleo

Schaeffler invites applications for a role focused on product data management and catalog content in Mexico. You will support master data maintenance, collect technical information, and aid in coverage analysis to support portfolio development.

The position targets students pursuing engineering degrees with strong analytical and collaborative skills. Join a global technology leader with opportunities in data governance and process improvement in an automotive context.

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