Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

Amazon BIE Co-op Fall Internship - US 
United States, Washington, Seattle 
448623839

04.03.2025
DESCRIPTION

Start dates for our co-ops in this posting include the following period:Fall (Starts August/September 2025)
Key job responsibilities
During a Business Intelligence Engineer Co-op, 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

BASIC QUALIFICATIONS

- Are enrolled in a co-op program at your university
- 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 towards a Bachelor’s Degree in Statistics, Business Analytics, Data Analytics, Data Science, Computer Science, or other equivalent discipline, with an expected conferral date between March 2026 – December 2028.


PREFERRED QUALIFICATIONS

- 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)
- Enrolled in a Master’s Degree or advanced technical degree , with an expected conferral date between March 2026 – December 2028.
- 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.