Amazon - 2025 Business intelligence engineer internship

DESCRIPTION

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.

2025 Business Intelligence Engineer Internship - Germany

At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Business intelligence engineers use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.

The challenges business intelligence engineers solve for at Amazon are big and affect millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon – someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years.

The Amazon University Talent Acquisition Team are looking for ambitious students to join us as interns at the heart of our core consumer business! Internships are flexible in length to fit in with your university’s placement scheme.

Key job responsibilities

• Develop analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrity
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Write high quality code to retrieve and analyze data
• Analyze and solve business problems at their root, stepping back to understand the broader context
• Design pragmatic analyses and automated metrics that add value to your business area
• Understand data resources and how, when, and what to use (and what not to use).
• Develop analyses (whether fully formed or exploratory) for the business’ sake, not for analyses’ sake
• Seek to understand the business objectives relevant to your area, and align your work to those objectives and seek to deliver business value
• Proactively and continually, improve your level of knowledge about Amazon’s business and relevant data resources

A day in the life

Our Business Intelligence Engineer builds data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business. Our Business Intelligence Engineers tackle some of the most complex challenges in large scale
computing, work in small teams across the company to contribute to the e-commerce platform that's used by millions of people all over the world. With that in mind, we require applicants to demonstrate their technical skills in a number of areas.