At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The intense focus we have on our customers is why we are one of the world's most beloved brands – customer obsession is part of our company DNA. We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. Our Business Intelligence Engineer builds data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business. Our Business Intelligence Engineers tackle some of the most complex challenges in large scale computing, work in small teams across the company to contribute to the e-commerce platform that's used by millions of people all over the world. Key job responsibilities include developing analytical solutions to business problems, adopting best practices in reporting and analysis, writing high quality code to retrieve and analyze data, and designing pragmatic analyses and automated metrics.
Work 40 hours/week minimum and commit to 6 month internship maximum
Are enrolled in a Bachelor's degree or above in computer science, computer engineering, or related field
Experience in data querying or modeling with SQL, Excel
Experience with scripting language (e.g., Python, Java, or R)
Preferred: Knowledge of one or more industry analytics visualization tools like Excel, Tableau, AWS QuickSight, MicroStrategy or PowerBI, and statistical methods like t-test or Chi-squared
Competitive salary
Impactful project and internship/role deliverables
Networking opportunities with fellow interns
Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
Mentorship and career development
If you're successful during your internship, you could be considered for a graduate role after finishing your university studies.