Data Analyst - Summer Trainee (Kraków)
Nokia
IT, Data Science
Poland
Posted on Mar 9, 2026
Summer Intern is a short-term paid internship that allows you to kickstart your professional journey in the Semiconductor and Telecom world. As our Intern, you will gain hands-on experience in business intelligence and data analytics, with a strong focus on Power BI-based reporting and visualization. The internship usually lasts 3 months from July to September. We are open to offering the best talents a chance to continue working with us. #OpenToYou.
Position: Data Analyst – Summer Intern
Duration: 3 months
Date: 1.07.2026-30.09.2026
Location: Poland, Kraków
The Trainee performs delegated tasks with the objective to take over more and more responsibilities and learn all required skills for his / her future job. The main purpose of this job is to gain experience of all aspects of a selected area.
Must-have:
- Active student status (preferably in Data Science, Computer Science, Engineering, Mathematics, Statistics or related field)
- Good English, both spoken and written
- Willingness to work full-time during the summertime
- Basic knowledge of Power BI or similar BI tools
- Basic knowledge of SQL
- Understanding of data analysis and basic statistics
- Analytical mindset and attention to detail
- Eagerness to learn and work with real business data
Nice-to-have:
- Basic knowledge of: Power BI or similar BI tools, SQL, DAX or Power Query
- Basic knowledge of Python for data analysis (pandas, numpy)
- Understanding of basic machine learning concepts
- Familiarity with Excel advanced features
- Interest in data visualization best practices
You will:
- Prepare and develop Power BI reports and dashboards for internal stakeholders
- Analyze datasets to identify trends, inconsistencies, and improvement opportunities
- Support preparation, cleaning, and transformation of data from multiple sources
- Contribute to KPI definition and visualization improvements
- Support automation of recurring reporting processes
- Collaborate with business and technical teams to understand reporting needs
- Document analytical logic and reporting standards