Amazon Data Analyst Interview Questions (2026)

Landing a Data Analyst role at Amazon requires targeted preparation. Amazon uses a structured interview process called the Bar Raiser loop. Each interviewer is assigned specific Leadership Principles to evaluate. Expect deep behavioral questions using the STAR method, combined with technical assessments relevant to the role. The Bar Raiser interviewer ensures hiring standards remain high across the company. This guide covers the most frequently asked questions and insider tips to help you succeed in your Amazon Data Analyst interview.

About the Amazon Interview Process

Amazon evaluates candidates heavily against their 16 Leadership Principles, making behavioral questions a critical part of every interview loop.

Amazon uses a structured interview process called the Bar Raiser loop. Each interviewer is assigned specific Leadership Principles to evaluate. Expect deep behavioral questions using the STAR method, combined with technical assessments relevant to the role. The Bar Raiser interviewer ensures hiring standards remain high across the company.

Why Amazon Data Analyst Interviews Are Different

Amazon Data Analyst interviews differ from standard Data Analyst interviews in several key ways. The company has a unique interview culture, specific evaluation criteria, and expects candidates to demonstrate alignment with their values and mission. Understanding these differences gives you a significant advantage over other candidates.

Top 10 Data Analyst Interview Questions at Amazon

1. Amazon candidates should prepare for: Write a SQL query to find the top 5 customers by revenue.
2. At Amazon, you might be asked: How do you clean and prepare data for analysis?
3. A common Amazon interview question: What data visualization tools have you used?
4. Expect this at Amazon: Describe a time your analysis uncovered an unexpected insight.
5. Expect this at Amazon: How do you determine which metrics matter for a business question?
6. Amazon candidates should prepare for: Explain the difference between a left join and an inner join.
7. A common Amazon interview question: How do you handle conflicting data from different sources?
8. At Amazon, you might be asked: What is A/B testing and how do you evaluate results?
9. Amazon interviewers often ask: Describe your experience building dashboards and reports.
10. Amazon interviewers often ask: How do you ensure data accuracy in your analyses?

Amazon-Specific Preparation Tips for Data Analyst Candidates

• Memorize and prepare stories for all 16 Amazon Leadership Principles
• Use the STAR method rigorously with specific metrics and outcomes
• Prepare multiple stories for Customer Obsession and Ownership principles
• Practice system design for scalable distributed services
• Be ready to discuss trade-offs and how you handle ambiguity and conflict

General Data Analyst Interview Tips

• Master SQL — it comes up in almost every data analyst interview
• Practice creating compelling data visualizations
• Prepare examples of business impact from your analyses
• Be comfortable with Excel, Tableau, or Power BI

Preparation Timeline for Amazon Data Analyst Interviews

• 4 weeks before: Research Amazon culture, recent news, and the specific team you are applying to.
• 2-3 weeks before: Practice technical questions daily and prepare behavioral stories using the STAR method.
• 1 week before: Do full mock interviews with HireFlow AI simulating Amazon interview style.
• Day before: Review your notes, prepare questions for the interviewer, and get a good night of rest.

Practice Amazon Data Analyst Interview with HireFlow AI — our AI adapts to Amazon's interview style and gives real-time feedback.