Amazon Business Intelligence Engineer Summer Internship – US 

United States, Washington, Seattle 

554387705

Start dates for our internships in this posting include the following period:
1. Summer (Starts May/June 2025)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 resolutionsA day in the life

- 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)
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Currently working towards a Bachelor’s Degree in statistics, computer science, computer engineering, information management/systems, business analytics or other equivalent technical discipline with a conferral date between October 2025 – December 2028.

- Experience with scripting language (e.g., Python, Java, or R)
- Knowledge of data modeling and data pipeline design
- 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)
- Experience with relational and star schema data modeling concepts.
- 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.
- Enrolled in a Master’s Degree or advanced technical degree with a conferral date between October 2025 – December 2028.