Business Intelligence Engineer - 2025
Amazon.com
Do you enjoy translating data into actionable insights? Are you excited by the opportunity to troubleshoot features and products at the world's most customer-centric company? Are you passionate about mining data, developing models, using statistical and visualization techniques, and helping leaders make data-driven decisions? 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.
Please review the following page for information on Amazon University Talent Acquisition's recruiting timeline and additional FAQs: https://amazon.jobs/content/en/career-programs/university
Key job responsibilities
As a business intelligence engineer, you will/may:
•Build small- to mid-size business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data
•Use well-defined requirements to build a solution that enables effective, data-driven business decisions. Deliver end product on schedule
•Create and populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF)
•Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible
•Use one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders •Invent, refine, and develop BI solutions to ensure they meet the needs of the business and team goals
•Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions
A day in the life
The challenges business intelligence engineers solve for at Amazon are big and impact 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.
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 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.
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.
Please review the following page for information on Amazon University Talent Acquisition's recruiting timeline and additional FAQs: https://amazon.jobs/content/en/career-programs/university
Key job responsibilities
As a business intelligence engineer, you will/may:
•Build small- to mid-size business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data
•Use well-defined requirements to build a solution that enables effective, data-driven business decisions. Deliver end product on schedule
•Create and populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF)
•Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible
•Use one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders •Invent, refine, and develop BI solutions to ensure they meet the needs of the business and team goals
•Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions
A day in the life
The challenges business intelligence engineers solve for at Amazon are big and impact 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.
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 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.
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