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2025 Business Intelligence Engineer Internship

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Amazon

2mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • London

AI generated summary

  • You need experience with SQL and knowledge of improving code quality and optimizing BI processes for speed, cost, and reliability.
  • You will develop analytical solutions, write high-quality code, analyze business problems, design metrics, understand data resources, and align analyses with business objectives to deliver value.

Requirements

  • Experience with SQL
  • Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)

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

FAQs

What is the duration of the internship?

This is a 12-month internship only.

Where is the internship located?

The internship is located in London.

What is the graduation date requirement for applicants?

Only students with a graduation date in 2026 are eligible to apply.

What kind of technical skills are required for this position?

Experience with SQL is required for this position.

What responsibilities will I have as an intern?

As an intern, you will develop analytical solutions, write high-quality code to analyze data, design analyses, and align your work with business objectives.

Will there be opportunities for mentorship during the internship?

Yes, there will be mentorship and career development opportunities.

What kind of projects can I expect to work on during the internship?

You can expect to work on impactful projects that include building data pipelines, reports, dashboards, and analyses for business insights.

Are there networking opportunities available for interns?

Yes, there are networking opportunities with fellow interns, including internship events such as speaker series and panels.

Is prior knowledge of business intelligence processes preferred?

Yes, knowledge of how to improve code quality and optimize BI processes (e.g., speed, cost, reliability) is preferred, but not required.

Will I be considered for a graduate role after the internship?

Yes, if you’re successful during your internship, you could be considered for a graduate role after completing your university studies.

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Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.