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. How often can you say that your work changes the world At Amazon youll say it often. Join us and define tomorrow.
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 worlds most beloved brands customer obsession is part of our company DNA. The Amazon EU Student Programs 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 universitys 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 Amazons business and relevant data resources
- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. t-test Chi-squared)
- Experience with scripting language (e.g. Python Java or R)
- Masters degree or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis co-relation analysis
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for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.