- 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 2027 – December 2030.
- 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.
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
