Business Intelligence Engineer Intern

Shape what comes next | Discover careers in Tech 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. 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 Amazon cannot guarantee it can meet your selection based on factors including availability and business needs. Finalization on available locations and start dates will be provided at the time of job offer. Internship start periods include Winter (January/February 2027), Summer (May/June 2027), and Fall (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 part of a fast-paced, ambiguous environment and contribute to one of the most visited sites on the Internet? Amazon is looking for Business Intelligence Engineer interns to join one of its many lines of business. Amazon interns have the opportunity to work alongside engineers who innovate on behalf of customers every day. You will be matched to a manager and a mentor, have the opportunity to impact the evolution of Amazon technology, and lead mission-critical projects early in your career. Your work will contribute to solving complex technical challenges. ## Key job responsibilities - Build small- to mid-size business intelligence (BI) solutions—data sets, queries, reports, dashboards, and analyses—or components of larger solutions to answer business questions with data. - Use well-defined requirements to build solutions that enable effective, data-driven business decisions, and deliver end products 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 of next steps toward resolution. ## A day in the life Our internship program provides hands-on learning and building experiences for students 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 personal and professional development, expand your network, and participate in 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 an academic program that is physically located in the United States. - Can work a minimum of 40 hours per week and commit to a 12-week internship. - 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). - Currently working toward a Bachelor's Degree in statistics, computer science, computer engineering, information management/systems, business analytics, or another equivalent technical discipline, with an expected conferral date between October 2027 and December 2030. ## Preferred Qualifications - Experience with a 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 optimize 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 and December 2030. - Previous technical internships, if applicable. - Ability to deal with ambiguity in a fast-paced environment. - Excellent verbal and 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, visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, 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, and 401(k) matching. Learn more at https://hiring.amazon.com/why-amazon/benefits.