Business Intelligence Engineer Internship - 2027 (US)

Full Job Description

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At Amazon, our tech isn't just a tool, it's your playground. Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale. This is an environment where you learn by building. Whether you're creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast. You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems. There's no single path forward here, with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and, where the impact of what you build helps define what comes next, for customers and for you.

What's in it for you?

A career at Amazon means real responsibility from day one. You'll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.

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.

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 2027)
2. Summer (Starts May/June 2027)
3. Fall (Starts August/September 2027)

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.

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
• 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 2027 – December 2030.

Preferred Qualifications

• 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 2027 – December 2030.
• 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. 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.

Seattle, WA, USA - 86,615.00 USD Annually

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 2027 – December 2030.