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Modernos sistemas de arneses y exclusivos interiores de vehículos: el nombre DRÄXLMAIER representa innovaciones automotrices - Productos para resaltar la experiencia al conducir. Todos los días, aproximadamente 75.000 asociados en todo el mundo cooperan aportando su conocimiento, habilidades y su pasión automotriz hacia este objetivo. Personas, a quienes les gusta tomar responsabilidad, usar su creatividad y contribuir sus ideas hacia el éxito común. ¡Personas como tú!

Specialist Logistics Data Analyst

Job Req ID:  110312
Ubicación: 

San Luis Potosi, MX, 78423

Jobs at Dräxlmaier

 

Modern wire harness systems and exclusive vehicle interiors: The name DRAEXLMAIER stands for automotive innovations – products that enhance your driving experience. Every day, approximately 75,000 associates around the world cooperate to contribute their knowledge, skills and automotive passion toward this goal. Individuals, who like to take on responsibilities, use their creativity and contribute their ideas toward the common success. Individuals like you!

 

Specialist Logistics Data Analyst 

Position ID: 50975783 

Worker Category: Tiempo completo, Location: San Luis Potosi 

 

 

 

Objective of the position
• We are looking for an experienced Data Analyst that will provide immediate support to the Network Logistics team.
• We need a team member that can provide creativity, coding skills and problem solving to create new ideas and standards in DRX.

 

Principal activities
• Designing, implementating and coordinating technical aspects in the logical data science projects.
• Developing and maintaining globally used logistical calculation tolls and databases.
• Digitalizing the network by establishing interfaces between IT Systems and Calculation Tool.
• Designing and visualizing Business Analysis with the help of data mining methods and tools.
• Introducing and teaching logistical calculation tools and connecting the plant logistics with the HQ.
• Contributing to the establishment of a new department.


Requirements:
• Professional career: • Data Analytics, Statistics, Mathematics, IT Application.
• Relevant experience: 3-5 years Professional experience or comparable training.
English Advanced Level


Technical knowledge:
MS Office (Excel, PowerPoint, Word, Outlook)
PowerPivot, Power Query, PowerBI, PowerApps
Python, SQL, VBA, DAX

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