Hybrid Finance Data Visualization & Analytics Intern

UEFA; Nyon; Hybrid; CHF 20.088 - 31.248; Teilzeit

Zusammenfassung

UEFA is seeking a Data Visualization & Analytics Intern for its Finance division in Nyon, a hybrid role with one day of remote work per week. The 6-month internship focuses on building Power BI dashboards, translating data into business insights, and supporting financial analysis and AI-ready data ecosystems.

Recent graduates with a passion for finance and analytics are encouraged to apply. Responsibilities include dashboard development, data-driven recommendations, and collaboration with data

Qualifikationen

• Recent graduate within 1 year after completion of studies.
• Strong interest in finance and business performance analysis.
• Solid understanding of data analysis concepts and trend identification.
• Ability to connect data with business context and explain results clearly.
• Advanced Power BI skills including data modelling and DAX.
• Fluent in English.

Aufgaben

• Develop and maintain interactive dashboards and reports using Power BI for stakeholders.
• Translate data into clear insights to support decision-making.
• Support financial analysis activities including budget tracking and variance analysis.
• Collaborate with data engineers and business teams to ensure data quality and availability.
• Contribute to semantic models and advanced analytics initiatives.

Kenntnisse

Power BI

Data visualization

Data analysis

Finance knowledge

English

Ausbildung

Recent graduate (Bachelor/Master/PhD) within 1 year

Tools

Snowflake

Jobbeschreibung

UEFA is seeking a Data Visualization & Analytics Intern for its Finance division in Nyon, a hybrid role with one day of remote work per week. The 6-month internship focuses on building Power BI dashboards, translating data into business insights, and supporting financial analysis and AI-ready data ecosystems.

Recent graduates with a passion for finance and analytics are encouraged to apply. Responsibilities include dashboard development, data-driven recommendations, and collaboration with data