Engineering Intern: Ops & Data Analytics

Siemens; Ciudad de México; Presencial; MXN 67 000 - 100 000; Tempo integral

Resumo da oferta

Siemens is seeking a proactive Engineering Intern to support operational excellence initiatives within our Customer Service organization. The role combines warehouse process improvement, inventory management, quality control, digitalization, and data analytics to help optimize installed base and service performance.

You will collaborate with Service Operations, Engineering, Quality, and Digitalization teams, develop dashboards, and gain hands-on experience in real-world logistics and analytics

Qualificações

• Currently pursuing a degree in Industrial, Mechanical, Mechatronics, Logistics, or related Engineering fields.
• Strong analytical and organizational skills.
• Intermediate English.

Responsabilidades

• Develop and document warehouse procedures and standard work instructions.
• Support the implementation of quality controls and inventory management improvements.
• Coordinate inventory counts and stock validation activities.
• Assist in warehouse relocation and operational improvement projects.
• Organize and digitalize historical engineering drawings and technical documentation.
• Support the creation, validation, and maintenance of installed base and portfolio databases.
• Analyze operational and business data and contribute to dashboard development and reporting.
• Collaborate with Service Operations, Engineering, Quality, and Digitalization teams on continuous improvement initiatives.

Conhecimentos

Analytical skills

Organizational skills

Intermediate English

Formação académica

Engineering degree (in progress)

Ferramentas

Excel

Power BI

Descrição da oferta de emprego

Siemens is seeking a proactive Engineering Intern to support operational excellence initiatives within our Customer Service organization. The role combines warehouse process improvement, inventory management, quality control, digitalization, and data analytics to help optimize installed base and service performance.

You will collaborate with Service Operations, Engineering, Quality, and Digitalization teams, develop dashboards, and gain hands-on experience in real-world logistics and analytics