Amazon internships 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. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship 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 internships in this posting include the following periods:
1. Winter (Starts January/February 2026)
2. Summer (Starts May/June 2026)
3. 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 as an intern as Amazon is looking for Business Intelligence Engineer interns to join one of our many lines of business. Amazon interns 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
As a Business Intelligence Engineer intern, 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.
- 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
- 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, computer science, computer engineering, information management/systems, business analytics or other equivalent technical discipline with an expected conferral date between October 2026 – December 2029.
- Experience with scripting language (e.g., Python, Java, or R)
- Knowledge of data modeling and data pipeline design
- Experience with relational and star schema data modeling concepts
- 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.
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.
