Financial Analyst Intern

Finance teams are the strategy drivers to any organization. This role gives you the opportunity to be a part of making business decisions at scale, in a multinational company that still retains is Day One Customer Obsessed start up culture. By being involved in performance metrics, data analysis and financial models, you’ll identify where we can drive better efficiency and productivity to continue reducing costs for our customers while continuously improving our products’ selection.

How often can you say that your work changes the world? At Amazon, we work hard, have fun and make history! Join us to drive innovations both within finance and business.


Key job responsibilities
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.

Key Responsibilities:
• 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


A day in the life
Your paid 3/6-month internship includes:

• Mentorship: we care about your career aspirations and strive to assign projects based on your interests. You can learn and be curious with access to unlimited virtual trainings on project management, personal brand, communication skills and many more.
• Extra perks for Amazonians such as: exclusive Amazon.de discount; Deutschlandticket (Transportation Ticket); bike rental; gym membership discount; Beta testing on new Amazon products; and free mental health, legal, and financial support for you and your family.
• Get involved: we have with over 13 Amazon Affinity Groups you can join and become an ally to a cause close to your heart (sustainability, diversity, LGBTQ+, mental and/or physical disabilities, local community initiatives, etc.)
• Taking ownership of your career: because when you succeed, we all win. A successful internship, could lead to a full-time (graduate role) after finishing your university studies.


About the team
• Intern Community: Join a network of fellow interns, where you'll build lasting connections through collaborative projects and social events. Engage with like-minded individuals in specialized interest groups, from sustainability to innovation, expanding your professional network and perspective.
• Amazon Community: Immerse yourself in Amazon's diverse workplace culture, collaborating with professionals across various roles and experience levels to gain invaluable insights and mentorship opportunities.
• Support: Benefit from comprehensive program support, including dedicated mentorship, regular office hours, and IT and HR assistance, ensuring you have the resources needed to succeed.
• Learning Sessions: Accelerate your professional development through exclusive training sessions, access to Amazon's learning platforms, and direct interaction with industry experts, preparing you for future career success.
• Opportunities: Excel in your internship to unlock potential pathways to full-time graduate roles or extended internship programs. Enjoy competitive compensation, relocation assistance, and comprehensive employee benefits while working hard, having fun and making history.

Every day will be filled with developing new skills and achieving personal growth. Interested? Submitting your application takes less than 10 minutes and cover letters are not required. You will just need to attach your CV and answer a questionnaire. Selected candidates will be invited to an online assessment. If successful, you’ll attend to two rounds of virtual interviews, which take place on the same day. Interviews consist of behavioural questions and a case study, focusing on our Leadership Principles. The entire recruitment process typically takes 3 to 4 weeks. Do note that the selection process and timelines are subject to change, and vary with role and location.

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BASIC QUALIFICATIONS

- Currently in your penultimate or final year and working towards a university degree with an anticipated graduation date after the completion of your internship.
- Available to commence an internship between January and September 2026. Yes, our start dates are flexible! You should then be available between 3 and up to 6 months, full time (40h/week). Internship length is subject to availability.
- 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 Munich for the duration of the internship. A relocation package may be offered, subject to an eligibility criterion.

PREFERRED QUALIFICATIONS

- 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.
- Fluent written and verbal communication in German (Level – B2 or higher). Applications with German (Level – B1 or lower) will be also considered.