Internship
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Financial Analyst Intern

Amazon
London
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TL;DR

Key Takeaways

  • Gain hands-on experience in corporate finance and data analysis during a 3-12 month internship at Amazon.
  • Analyze financial data, develop forecasts, and contribute to strategic decision-making.
  • Receive mentorship, training, and access to exclusive Amazon perks.
  • Must be in the penultimate or final year of a university degree with relevant studies.
  • Internship to take place in London, available between January and September 2027.

About the Role

This internship offers a unique opportunity to be part of Amazon's Finance teams, acting as strategy drivers for the organization. You will gain experience in making business decisions at scale within a multinational company that maintains its Day One Customer Obsessed start-up culture.

What You'll Do

During your internship, you will tackle real-world business challenges and develop your analytical expertise. You will own projects that directly impact business operations, honing your financial acumen and quantitative skills. This hands-on experience will provide exposure to corporate finance, data analysis, and potentially building Artificial Intelligence (AI) solutions.

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

What's In It For You?

  • Mentorship: Projects can be assigned based on your interests, with access to unlimited virtual trainings on project management, personal brand, and communication skills.
  • Perks: Exclusive Amazon.co.uk discount, gym membership discount, beta testing on new Amazon products, and free mental health, legal, and financial support.
  • Community: Join over 13 Amazon Affinity Groups and connect with fellow interns through collaborative projects and social events.
  • Career Development: Accelerate your professional development through exclusive training sessions, access to Amazon's learning platforms, and interaction with industry experts.
  • Future Opportunities: A successful internship could lead to a full-time graduate role after finishing your university studies. Competitive compensation, relocation assistance, and comprehensive employee benefits are offered.

About the Team

You will join a network of fellow interns and collaborate with professionals across various roles and experience levels. The program offers comprehensive support, including dedicated mentorship, regular office hours, and IT and HR assistance. Learning sessions and direct interaction with industry experts will prepare you for future career success.

Application Process

Submitting your application takes less than 10 minutes; cover letters are not required. You will need to attach your CV and answer a questionnaire. Selected candidates will be invited to an online assessment, followed by two rounds of virtual interviews. The entire recruitment process typically takes 3 to 4 weeks.

Basic Qualifications

  • Currently in your penultimate or final year of university, working towards a degree with an anticipated graduation date after the internship.
  • Relevant studies in Economics, Finance, or an Applied Science major (e.g., Engineering, Mathematics, or similar).
  • Available for a 3 to 12-month full-time (40h/week) internship between January and September 2027.
  • Fluent written and verbal communication in English (Level - C1 or higher).
  • Advanced knowledge of Microsoft Excel (e.g., macros, pivots, lookups, VBA).
  • Right to work in the country of employment.
  • Based in London for the duration of the internship.

Preferred Qualifications

  • Strong analytical skills and ability to work with large datasets, presenting actionable data-driven insights.
  • Excellent communication and teamwork skills.
  • Demonstrated curiosity, proactivity, and willingness to take on challenges.
  • Data visualization skills (e.g., Tableau, QlikView, PowerPivot, MicroStrategy, Amazon Quick Sight).
  • Oracle, VBA and MySQL/SQL knowledge.
  • Basic knowledge of and interest in AI.