2023 Business Intelligence Engineer Internship

Job Description

Job summaryWere 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 youre ready to be. Every day will be filled with exciting new challenges, developingnew skills, and achieving personal growth.How often can you say that your work changes the world At Amazon, youll say it often. Join us and define tomorrow2023 Business Intelligence Engineer Internship- LondonDo 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 environmentand contribute to one of the most visited sites on the InternetAt 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 brandscustomer obsession is part of our company DNA. Business intelligence engineersuse 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 kindof person who takes on this role at Amazonsomeone 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 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 lifeOur 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 scalecomputing, work in small teams across the company to contribute to the e-commerce platform thats 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 teamIf youre insatiably curious and always want to learn more, then youve 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
• Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
• Mentorship and career development

If youre successful during your internship, you could be considered for a graduate role after finishing your university studies.Internship start dates vary throughout the year.Internship length can vary between (3 month / 6 month / 12 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://affinity-groups), sometimes known as employee resource groups, which bring employees together acrossbusinesses 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 tocommunities 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://careersIf you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT): https://en/disability/ukBASIC QUALIFICATIONS

• Currently enrolled in a Bachelors or Masters degree program in computer engineering, computer science, or a similar technical field
• Availability to complete a 3 - 6 -12 months internship working full time week
• 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

• Masters 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.Prot