Salary
≈ $32k – $57k per year (Estimated)
Location
In office (Hamburg)
Seniority
Intern
Employment
Part-Time
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Jun 9, 2026. Tesa scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Tesa is a German adhesive tape maker that supplies industrial and consumer tape solutions. It hires IT product owners, supply chain and data working students and marketing interns at its sites in Hamburg, Offenburg and Mumbai. The company is headquartered in Norderstedt near Hamburg, Germany.
What you will do
About the Role
- We are looking for a motivated Working Student (m/f/x) to support a strategic core project by ensuring high-quality data administration, data maintenance, and data analysis. In this role, you will help structure, clean, and manage project data and create a reliable basis for data-driven decisions.
- You will work in a highly dynamic and positive team environment and contribute directly to a project with high strategic relevance.
Your Responsibilities
- Maintain and administer project databases, spreadsheets, and documentation (e.g., Excel/SharePoint or similar tools)
- Ensure data quality through validation, cleansing, and consistent data standards
- Structure and harmonize datasets from different sources to improve usability and transparency
- Prepare recurring reports, dashboards, and summaries for project stakeholders
- Perform exploratory data analysis and support interpretation of results for decision-making
- Document data definitions, workflows, and change logs to ensure traceability and reproducibility
- Collaborate with cross-functional team members to gather requirements and translate them into data structures and reports
- You will support the implementation of LIMS and AI solutions for data storage and analysis
What you will need
- Enrolled student (m/f/x) in business, engineering, data science, economics, information systems, or a related field, additional technical background is preferred.
- Strong affinity for working with data and a structured, detail-oriented mindset
- Good skills in Excel (pivot tables, formulas)
- Basic knowledge of data analysis methods; experience with Python/R/SQL is a plus
- High standards for accuracy, data consistency, and documentation
- Proactive, reliable, and able to work independently
- Good communication skills in English (German is a plus, depending on team setup)
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