About this role
Description
At Amazon, we work backwards from the customer. We're driven by data, curiosity, and the desire to simplify what's complex. If you enjoy turning numbers into decisions and want to start your career at a company that thinks big, this is the place for you.
We value Diversity, Equity, and Inclusion (DEI) and work to ensure that our internal environment reflects the plurality of the markets and customers we serve. That's why we have a DEI Committee with representatives from various areas and an engaged leadership, aware that "success and growth bring broad responsibilities." Our affinity groups are made up of volunteers who define DEI strategies and act as ambassadors, supporting you from Day 1, because "it's always Day 1."
The positions are for a start in the first quarter of 2027, on-site in São Paulo (5 days a week).
About the internship program
We're looking for students who want to work with data analysis, business intelligence, and technology to support strategic decisions across different areas of Amazon. When you apply, you may be directed to opportunities in Business Intelligence, Technology teams, inventory management (In-Stock), or business analysis, according to your profile and interests.
Key job responsibilities
Collect, organize, and analyze large volumes of data to generate actionable insights
Build and maintain reports, dashboards, and performance indicators (KPIs)
Support demand forecasting, product availability, and operational efficiency
Identify opportunities for process improvement based on quantitative analysis
Work together with multidisciplinary teams to solve real business problems
Basic Qualifications
- Knowledge of SQL and Excel at a moderate or advanced level
- Speak, write, and read fluently in English
- Students with an expected graduation date in line with the program rules (Jul 2028)
- Degrees in Engineering, Statistics, Mathematics, Economics, Data Science, Information Systems, Computer Science, Business Administration, Accounting, and related fields
- Strong analytical and logical reasoning, with a passion for numbers and problem-solving
Preferred Qualifications
- Nice to have: Other languages and tools such as Python, R, Power BI/QuickSight, or data visualization tools
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.