Financial Analyst Intern

Description

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 6-month internship includes :

About the team

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 up to 6 months, full time (40h / week).

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 Italian (Level – B2 or higher).

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country / region you’re applying in isn’t listed, please contact your Recruiting Partner.