Working Student Logistics Controlling

Logistics Cost Monitoring: Support the team in tracking and analyzing transportation, warehousing, and overall logistics expenses to ensure cost efficiency.
Data Management & Reporting: Collect, organize, and generate reports on logistics costs, highlighting key trends and areas for potential savings.
Cost Optimization Support: Assist in identifying cost-saving opportunities by analyzing numerical data and collaborating on improvement strategies.
AI-Driven Insights: Work with AI tools and platforms to enhance data analysis, forecasting logistics costs, and improving decision-making processes.
Cross-Functional Collaboration: Engage with logistics, finance, and AI teams to learn about integrating technology solutions and optimizing logistics costs through innovative approaches.
University/Masters studies ongoing;
English level: advanced;
Basic understanding of logistics operations and cost components such as transportation, warehousing, and inventory management.
Knowledge of data analysis and reporting tools, including Excel or similar spreadsheet software.
Introduction to AI and data-driven technologies, with an interest in how these tools can optimize logistics and cost management.
Strong analytical skills and attention to detail, with the ability to interpret numerical data accurately

Employment type
Intern

Work arrangement
Hybrid