Amazon Intern Program 2027 | Data & Analytics
Amazon is hiring an Amazon Intern Program 2027 | Data & Analytics in São Paulo, Brazil. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions SQL, Excel and Python among its tools and skills.
- Level classes it as an internship.
- Amazon has 21,000+ other open roles on Level.
- Posted in the last few days.
AI in this role
Amazon is looking for a Data & Analytics intern to collect and analyze data, build reports, and support strategic business decisions.
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.
How we rate this
Amazon Intern Program 2027 | Data & Analytics at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where demand forecasting was part of your work. What did you do?
- What's a project where you used SQL hands-on?
- Walk me through how you've used Excel in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Business Intelligence, Demand Forecasting, SQL, and Excel. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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