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.
- 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
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 scalecomputing, 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.
- Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field
- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields
- Work 40 hours/week minimum and commit to 6 month internship maximum
- Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
- Experience with data querying or modeling with SQL or Excel
- Experience with SQL
