🚀 Internship

2023 Business Intelligence Engineer Internship

Amazon

15d ago

🚀 Off-cycle

London

Rolling basis

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.

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.

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Area of Responsibilities

Engineering

Responsibilities

Develop analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrityRecognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationWrite high quality code to retrieve and analyze dataAnalyze and solve business problems at their root, stepping back to understand the broader contextDesign pragmatic analyses and automated metrics that add value to your business areaUnderstand 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’ sakeSeek to understand the business objectives relevant to your area, and align your work to those objectives and seek to deliver business valueProactively and continually, improve your level of knowledge about Amazon’s business and relevant data resources
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Requirements

BASIC QUALIFICATIONSCurrently enrolled in a Bachelor’s or Master’s degree program in computer engineering, computer science, or a similar technical fieldAvailability to complete a 3 - 6 -12 months internship working full time weekAdvanced knowledge and/or experience using SQLExperience with data querying or modelling with SQL, ExcelExperience 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 QUALIFICATIONSMaster’s or advanced technical degreeExperience 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 datasetsKnowledge of algorithm design and complexity analysisAbility to deal with ambiguity in a fast-paced environmentExcellent verbal/written communication skills and data presentation skills
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Benefits

Competitive payImpactful project and internship/role deliverablesHybrid working (team dependent)Networking opportunities with fellow internsInternships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.Mentorship and career development
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