Advanced Logistics Specialist – SAP & Lean Auto Ops

Bayerische Motoren Werke Aktiengesellschaft; San Luis Potosí; Presencial; MXN 547,000 - 821,000; Jornada completa

Descripción de la vacante

A leading automotive company in Mexico is seeking an Advanced Specialist Logistics. This role involves overseeing inventory planning and logistics operations, requiring over 3 years of experience in logistics processes, preferably in the automotive sector. Candidates should possess a Bachelor's degree in Industrial Engineering or a related field, as well as SAP knowledge. Strong communication and teamwork skills are essential to succeed in this role, ensuring operational efficiency and data integrity.

Formación

• Bachelor's degree in a relevant field essential.
• Over 3 years of relevant work experience necessary.
• Strong knowledge of logistics processes in the automotive industry required.
• SAP knowledge is mandatory.

Responsabilidades

• Responsible for daily follow up to the counting planning program.
• Steering daily meetings with the Logistics Service Provider.
• Perform SAP Key User activities for system fluidity.
• Design and develop work instructions for inventory users.
• Ensure data integrity and compliance with legal inventory requirements.

Conocimientos

Logistic processes in the automotive industry

Lean production optimization

Warehouse management

SAP knowledge

Teamwork

Good communication skills

Educación

Bachelor's Degree in Industrial Engineering, International Business, Administration, Logistics or equivalent

Descripción del empleo

A leading automotive company in Mexico is seeking an Advanced Specialist Logistics. This role involves overseeing inventory planning and logistics operations, requiring over 3 years of experience in logistics processes, preferably in the automotive sector. Candidates should possess a Bachelor's degree in Industrial Engineering or a related field, as well as SAP knowledge. Strong communication and teamwork skills are essential to succeed in this role, ensuring operational efficiency and data integrity.