Job information

Division/Unit:Finance / Controlling
Contract type: Fixed-Term
Location: Nyon (WFH up to one day per week)
Start date: 01/09/2026
End date: 28/02/2027

Main goal

UEFA is seeking a motivated and detail-oriented Data Visualization & Analytics Intern to join its Finance division for a 6-month internship. This role offers a unique opportunity to contribute to real business use cases, supporting financial, operational and data-driven decision-making across UEFA’s activities, while also contributing to the development of semantic data layers enabling advanced analytics and AI-driven capabilities.

The internship is designed for recent graduates passionate about finance, data, analytics, and modern data platforms, with a strong interest in transforming data into actionable insights and supporting the business performance evolution toward AI-ready data ecosystems.

Key responsibilities

Developing and maintaining interactive dashboards and reports using Power BI, ensuring clarity and usability for business stakeholders
Translating data into clear insights and recommendations to support decision-making
Supporting financial analysis activities, including budget tracking, variance analysis and performance monitoring
Collaborating with data engineers and business teams to ensure data quality, consistency and availability
Contributing to the development and continuous improvement of semantic models, supporting advanced analytics and AI-driven use cases
Contributing to the continuous improvement of UEFA’s data models and reporting landscape

Requirements

Recent graduate (Bachelor, Master, or PhD) within maximum one year after completion of studies
Strong interest in finance and business performance analysis
Solid understanding of data analysis concepts (e.g. working with datasets, identifying trends, basic statistics)
Ability to connect data with business context and explain results clearly and transparent
Proficiency in data visualization and data analysis techniques
Advanced knowledge of Power BI (data modelling, DAX, semantic layer modelling, dashboard design)
Working knowledge of Snowflake (or similar cloud data platforms)
Experience with financial data or reporting is a plus

Languages:

Fluent in English