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.
Do you enjoy solving complex problems and troubleshooting products? Are you passionate about developing test strategies, finding, and tracking bugs to resolution, and innovating on behalf of customers? Do you want to be a part of a fast-paced, ambiguous environment and contribute to one of the most visited sites on the Internet?
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 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 university’s placement scheme.
Key job responsibilities
- Develop analytical solutions to business problems that utilize the highest standards of analytical rigour 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.
About the team
If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.
- Competitive pay
- Impactful project and internship/role deliverables
- Hybrid working (team dependent)
- Networking opportunities with fellow interns
- Internship events such as speaker series, intern panels, Leadership Principles sessions, and Amazon writing skills sessions.
- Mentorship and career development
If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies.
Internship start dates vary throughout the year, until the end of 2023. The internship length is ideally 6 months.
We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups (https://www.aboutamazon.com/affinity-groups), sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. With executive and company sponsorship, these groups play an important role in building internal networks for creating a community, advising Amazon business units, leading service projects, and reaching out to communities where Amazonians live and work.
Want to know more about our opportunities? Visit our EMEA Student Programs Team Events page to register for one of our upcoming events: https://amazonstudentevents.splashthat.com/careers
- Currently enrolled in a Bachelor’s or Master’s degree program in computer engineering, computer science, or a similar technical field
- Availability to complete ideally a 6 months + internship working full time week
- Advanced knowledge and/or experience using SQL
- Experience with data querying or modelling with SQL, Excel
- Experience with a scripting language (e.g., Python, Java, or R)
- Knowledge of BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools)
- Master’s or advanced technical degree
- Experience with BI analytics/ reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools)
- Experience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large-scale, complex datasets
- Knowledge of algorithm design and complexity analysis
- Ability to deal with ambiguity in a fast-paced environment
- Excellent verbal/written communication skills and data presentation skills
2023 Business Intelligence Engineer Internship- Luxembourg, Italy, Spain and France
We have opportunities available in various countries throughout Europe. Please visit the following application links depending on your preferred locale: