BIE Co-op Fall Internship - 2025 (US)

Amazon co-ops are full-time positions, and co-op students should expect to work 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 period:

Fall (Starts August/September 2025)

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

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.

How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.


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
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.

Basic Qualifications

- Are enrolled in or have completed a Bachelor's degree in statistics, business analytics, data analytics, data science, computer science or related field
- Are enrolled in a co-op program at your university
- Experience with data querying or modeling with SQL
- Experience building and maintaining 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)

Preferred Qualifications

- Enrolled in a Master’s Degree or advanced technical degree , with an expected conferral date between March 2026 – December 2028.
- Previous technical internship(s), if applicable.
- Experience with scripting language (e.g., Python, Java, or R).
- Knowledge of data modeling and data pipeline design.
- Application of basic statistical methods (e.g. regression) for difficult business problems.
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability).
- Ability to deal with ambiguity in a fast-paced environment.
- Excellent verbal/written communication skills and data presentation skills.
- Strong analytical skills.
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $35.63/hr in our lowest geographic market up to $79.62/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.