Finance Data Visualisation Intern

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