Overview
Amazon’s official interview guide explains how students and graduates can prepare for Business Intelligence Engineer and Data Engineer interviews.
About the Guidance
This is evergreen career advice, not a new job opening, scholarship or guaranteed route to an offer. Always match preparation to your actual vacancy and recruiter’s instructions.
Technical Preparation
For business intelligence, Amazon highlights SQL, statistics and translating business needs into useful analysis. Data engineering also involves data modelling, ETL, programming and scalable data infrastructure.
Technical assessment can combine discussion and coding exercises. Start with the job description’s essential and preferred qualifications.
Behavioural Preparation
Amazon recommends using the STAR structure—Situation, Task, Action and Result—to explain past experiences linked to its Leadership Principles.
A Practical Preparation Plan
Our editorial suggestion: choose one project you can explain thoroughly. Practise describing its data, decisions, limitations and results. Then prepare separate examples of collaboration, a setback and a decision you would improve.
For SQL practice, explain your assumptions before writing a query and check whether the result answers the original business question. Use genuine examples rather than memorised claims about experience you do not have.
Who Can Use This?
Students and graduates preparing for relevant Amazon data roles. Actual job eligibility varies by vacancy.
Summary Table
| Focus | Technical and behavioural preparation |
|---|---|
| Audience | Student and graduate data-role candidates |
| Deadline | None for reading the guide |
Frequently Asked Questions
Does this article advertise a job? No. Use Amazon’s careers site for current vacancies.
Conclusion
Build preparation around the specific role, clear explanations and honest evidence of your work.
Read Amazon’s official data interview guide
Keywords: Amazon data interview preparation, graduate careers, SQL, STAR method.
