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Data Analytics Automation - Working Student (Wroclaw)

Nokia

Nokia

Data Science
Poland
Posted on Feb 5, 2026

Working Student is a long-term paid internship, that allows you to kickstart your fabulous journey in the IT and Telecom world. As our Trainee you can have experience working in such areas that correspond to full-time engineering jobs. The internship usually lasts from 6 to 24 months.

The RF SW Program Management Team is responsible for organizing and coordinating software program activities aimed at creating software for new Radio units. The team works closely with multiple internal stakeholders and focuses on data-driven decision support, continuous improvement, and innovative solutions for complex software programs.

Location: Wroclaw


As part of the team, you will build data-driven tools and analytics that directly impact decision-making in large-scale software programs. This role offers hands-on experience with modern technologies, data modeling, and real-world applications of software architecture concepts.

Must-Have:

  • Active student status
  • Good English language
  • Understanding of general concepts in SW architecture: layering, interfaces, reusability
  • Ability to decompose problems and challenges into primitives that can be modeled in SW architecture
  • Solid fundamentals in modelling relational databases
  • Having experience with SW programming or database programming or both
  • Organized, ability to track all required details
  • Open minded for researching and experimenting solutions

Nice-to-Have:

  • Hands on experience with large language models and related tools and libraries
  • Basic understanding of concepts and good practices in GUI design
  • Having hands-on experience with Microsoft technologies
  • Excel, Power BI and SQL skills


  • Develop and maintain a dashboard that aggregates data from multiple internal tools
  • Create data analytics solutions to support Software Program Managers in planning and execution of new Radio programs
  • Contribute to the evolution of the application into an early warning system
  • Analyze complex problems and decompose them into software architecture components
  • Collaborate with stakeholders to understand requirements and improve solutions