2025 Business Analyst Intern

at  Amazon EU SARL Netherlands Branch I49

• Available to commence an internship between January and September 2025. 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.
• Pursuing a Bachelor’s or Master’s Degree, with an anticipated graduation date after the completion of your internship.
• Experience with SQL, ETL or Python.
• Fluent written and verbal communication in English (Level - C1 or higher).
• You will be based in Amsterdam for the duration of the internship. A relocation package may be offered, subject to an eligibility criterion.
  We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.
  How often can you say that your work changes the world? At Amazon you’ll say it often. Join us and define tomorrow.
  The Amazon EU Student Programs Team is looking for ambitious students to join us at the heart of our core consumer business. As a Business Analyst Intern you will join one of our business intelligence, retail or seller services teams. The role provides an opportunity to understand Amazon business and processes, enhance analytical skills, and make significant business impact.

Key job responsibilities

• Working with operational, finance, retail and technical teams across the organization to identify opportunities, develop sound business cases and drive measurements of actions to continuously improve on the inputs and ultimately the outputs of the business.
• Working with large volumes and big data, in a highly complex business.
• Working with business intelligence tools, accessing and working with big data from multiple sources, and partnering with the business to identify strategic opportunities and deliver results.

A day in the life

• Working with operational, finance, retail and technical teams across the organization to identify opportunities, develop sound business cases and drive measurements of actions to continuously improve on the inputs and ultimately the outputs of the business.
• Working with large volumes and big data, in a highly complex business.
• Working with business intelligence tools, accessing and working with big data from multiple sources, and partnering with the business to identify strategic opportunities and deliver results