Financial Analyst Working Student 2027 (m/w/d)

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. Key job responsibilities: Involved in the preparation of month-end closing activities, and be responsible for the maintenance and further development of management reporting. Track performance metrics, analyse data and build financial models to identify better ways to drive efficiency and productivity. Contribute to cost-effectiveness and variance analyses, and work on specific and cross-divisional issues to help our business deliver the best to our customers. Build trusted partnerships with the business to influence tactical and strategic business decisions that promote business improvements and cost reductions.

BASIC QUALIFICATIONS

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.

Relevant studies in Economics, Finance, or an Applied Science major (e.g., Engineering, Mathematics, or similar disciplines).

Available to commence your Working Student role between January and September 2027.

Yes, our start dates are flexible!

You should then be available between 6 and up to 12 months (10 up to 20h/week).

Working Student 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 contract.

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.

What’s in it for you?

An internship at Amazon means real responsibility from day one. You’ll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus. Your paid 6/12-month working student 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 working student, could lead to a full-time (graduate role) after finishing your university studies.

Contact

Munich Germany

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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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation