Description Amazon co-ops across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Students should not have conflicts such as classes or other employment during the Amazon work-day. Applicants must be currently enrolled in a co-op program at their school in the US, and should have a minimum of one quarter/semester/trimester remaining in their studies after their co-op concludes. By applying to this position, your application will be considered for all Business Intelligence Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN). You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer. Start dates for our co-ops in this posting include the following periods: 1. Summer (Starts May/June 2026) 2. Fall (Starts August/September 2026) 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? If this describes you, consider joining us for a co-op. Amazon is looking for a Business Intelligence Engineer Co-op to join one of our many lines of business. Amazon co-ops have the opportunity to work alongside the industry’s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission-critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company. Key job responsibilities During a Business Intelligence Engineer Co-op, 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 Our internship program provides hands-on learning and building experiences for students who are interested in a career in business intelligence engineering. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your internship and learn in a real-world setting. Basic Qualifications - Are 18 years of age or older - Are enrolled in a academic program that is physically located in the United States - Work 40 hours/week minimum and commit to 12 week internship maximum - Are enrolled in a co-op program at your university - Experience with data querying or modeling with SQL - Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries) - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Currently working towards a Bachelor’s Degree in Statistics, Business Analytics, Data Analytics, Data Science, Computer Science, or other equivalent discipline, with an expected conferral date between October 2026 – December 2029. Preferred Qualifications - Experience with scripting language (e.g., Python, Java, or R) - Knowledge of data modeling and data pipeline design - Experience applying basic statistical methods (e.g. regression) to difficult business problems - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Enrolled in a Master’s Degree or advanced technical degree , with an expected conferral date between October 2026 – December 2029. - Previous technical internship(s), if applicable. - Ability to deal with ambiguity in a fast-paced environment. - Excellent verbal/written communication skills and data presentation skills. - Strong analytical skills. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually