Data Analyst applicants have rated the interview process at Amazon with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 44% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Analyst roles take an average of 20 days to get hired, when considering 43 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 28 days.
Common stages of the interview process at Amazon as a Data Analyst according to 43 Glassdoor interviews include:
Phone interview: 26%
Skills test: 26%
Background check: 14%
One on one interview: 12%
Personality test: 12%
IQ intelligence test: 3%
Presentation: 3%
Group panel interview: 2%
Other: 2%
Drug test: 2%
Here are the most commonly searched roles for interview reports -
It was a fairly standard interview with typical principal-level questions. Prepare well by studying their website in advance, as many questions are based on it. If you face any issues, reviewing prior candidate experiences can provide useful insights and guidance.
Interview felt rushed, they didn't answer any of my questions and I didn't feel like they took me seriously as a candidate. Recruiter didn't do a pre screening with me either.
I applied online. I interviewed at Amazon (Cairo, Cairo Governorate) in Apr 2026
Interview
The interview process consisted of multiple stages. It began with an online assessment focused on soft skills, workplace scenarios, and decision-making abilities. This was followed by a technical interview that covered data analysis concepts, SQL questions, and knowledge of AWS services. The discussion also included questions about previous experience, problem-solving approaches, and working with data in practical business scenarios.
Interview questions [1]
Question 1
Explain a data analysis project you worked on, including the business problem, the tools you used, and how your solution created value