Business Intel Eng (1year FTC), Supply Chain EU SCOT
Job Summary
At Amazon we hire the best minds in technology to innovate on behalf of our customers. The 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
A day in the life
Work/Life Balance
Our team puts a high value on work-life balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.
Inclusive Team Culture
Our team is intentional about attracting developing and retaining amazing talent from diverse backgrounds. Yes we do get to build a really cool service but we also think a big reason for that is inclusive and welcoming culture we try to cultivate every day.
Mentorship & Career Growth
We care about your career growth. Whether your goals are to explore new design concepts take on bigger opportunities or get to the next level well help you get there. Our business is growing fast and our people will grow with it.
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience in the data/BI space
- Experience managing analyzing and communicating results to senior leadership
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 ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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About Company
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