During your internship you will tackle real-world business challenges, while developing your analytical expertise. As an intern, you will own projects that directly impact our business operations honing your financial acumen and quantitative skills. This hands-on experience will provide you with valuable exposure to corporate finance, data analysis, empower you to build Artificial Intelligence (AI) solutions working together with like-minded customer obsessed finance professions. You will be part of strategic decision-making learning from your peers and leaders. You will gain practical insights into financial planning, analysis, and reporting while contributing to initiatives that drive business growth and enhance customer value. This opportunity is ideal for driven individuals looking to launch their careers in finance or broader business. Where is better to learn about innovating at scale than a company that has multinational resources but remains startup at its heart.
• Analyze financial data and trends to drive cost optimization and operational efficiency
• Develop financial reports, forecasts, and KPI dashboards to support strategic decision-making
• Perform financial assessments that inform business solutions and enhance customer value
• Implement process automation and data quality improvements
• Collaborate with stakeholders across teams while building your professional network
- Available to commence an internship between January and September 2026. Yes, our start dates are flexible! You should then be available up to 6 months, full time (40h/week).
- Relevant studies in Economics, Finance, or an Applied Science major (e.g., Engineering, Mathematics, or similar disciplines).
- Fluent written and verbal communication in English (Level - C1 or higher).
- Advanced knowledge of Microsoft Excel (e.g. macros, pivots, lookups, VBA).
- You must have the right to work in the country of employment.
- You will be based in Luxembourg for the duration of the internship. A relocation package may be offered, subject to an eligibility criterion.
- Strong analytical skills and ability to work with large datasets, presenting actionable data-driven insights.
- Excellent communication and teamwork skills, working effectively with others, driving your solutions to Deliver Results.
- Demonstrated curiosity, proactivity, and willingness to take on challenges in an ambiguous, fast-paced environment.
- Data visualization skills, such as proficiency in Tableau, QlikView, PowerPivot, or MicroStrategy, Amazon Quick Sight.
- Oracle, VBA and MySQL/SQL knowledge.
- Basic knowledge of and interest in AI.
