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

　　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 at the heart of our core consumer business!

　　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.

　　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:

　　Competitive pay

　　Hybrid working (team dependent)

　　Mentorship and career development

　　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 in service projects, and reaching out to communities where Amazonians live and work.

　　We are open to hiring candidates to work out of one of the following locations:

　　Luxembourg, LUX

　　Basic Qualifications

　　Currently enrolled in a Bachelor’s or Master’s degree program in computer engineering, computer science, or a similar technical field (or graduated less than 12 months ago).

　　Advanced knowledge and/or experience using SQL

　　Experience with data querying or modelling with SQL, Excel

　　Experience with 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)

　　Preferred Qualifications

　　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

　　Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.