Student Assistant – Supply Chain Data & Analytics

Role Overview

• Supporting data collection, validation, and preparation across supply chain domains using tools such as KNIME, Snowflake, and Power BI.
• Assisting in developing and maintaining dashboards, reports, and analytical insights (e.g., in Power BI).
• Helping document data models, definitions, and process flows to improve transparency and data quality.
• Performing ad hoc analyses to support decision-making for supply chain teams.
• Supporting automation and improvement initiatives within data and analytics workflows.
• Collaborating with supply chain, IT, and analytics colleagues across regions.

Requirements

• Are currently enrolled in a Bachelor’s or Master’s program within Supply Chain Management, Operations Management, Industrial Engineering, Data Science, Business Analytics, Economics, or a related field, with at least one year remaining in your studies
• Have a strong analytical mindset with a genuine interest in data-driven decision-making and supply chain processes
• Have basic experience with data and analytics tools (e.g. Excel, KNIME, Snowflake, Power BI, SQL or similar)
• Have the ability to structure information and communicate insights clearly to different stakeholders
• Are comfortable learning new systems, collaborating across teams, and working in English on a daily basis.

Tech Stack

• SQL

Benefits

• Hands-on experience with real supply chain data and analytics challenges.
• Exposure to global supply chain operations and decision-making.
• Close collaboration with experienced supply chain and analytics professionals.
• Flexible working hours to support your studies.
• Opportunity to build a strong professional network and relevant career skills.