Student Assistant (Data and Analytics)

Job summary

This role involves supporting the Asset Strategy Platforms team by working on data-related tasks in a large-scale logistics environment. The position focuses on data preparation, dashboard creation, and assisting with AI/ML experiments, contributing directly to business decisions.

Qualifications

• Currently enrolled in a Bachelor's or Master’s program in Data Science, Business Analytics, Computer Science, or a related quantitative field at a Danish university.
• Available to work up to 20 hours per week.

Responsibilities

• Prepare, clean, and validate data for analysis and AI/ML experiments.
• Build and maintain Power BI dashboards to track platform performance and adoption metrics.
• Conduct ad-hoc analysis by translating business questions into structured tasks and clearly communicating findings.
• Assist in designing and running experiments to explore AI/ML approaches for product improvement.
• Document processes and findings to facilitate team knowledge sharing.
• Work with large datasets in logistics, operations, and supply chain domains.
• Utilize AI tools to enhance productivity while critically evaluating their outputs.

Skills

• Hands-on experience with Python or SQL; exposure to Power BI, Azure, or Databricks/Jupyter is advantageous.
• Familiarity with AI coding tools and LLM-based analysis is valued.
• Strong communication skills to convey findings to both technical and non-technical audiences.
• Collaborative mindset, responsive to feedback, and capable of validating AI-generated outputs.

Education

• Enrollment in a relevant degree program at a Danish university.

Tools

• Power BI, Python, SQL, AI coding tools (e.g., Copilot), Azure, Databricks/Jupyter.