Difficulty
Average
Candidate-reported interview insights
Amazon Business Intelligence Engineer interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Business Intelligence Engineer role at Amazon.
3.6 rating Internet & Web Services
Interview overview
Average rounds
2.7
Average duration
36.6 day average
Difficulty and candidate experience
Interview difficulty
easy10%
average62.3%
difficult27.7%
Candidate experience
positive66.9%
neutral24.6%
negative8.5%
Candidate-reported interview process
I had a really simple and friendly experience. The interview wasn't super hard but I really emphasize knowing all of Amazon's LPs for the final behavioral round. Recruiters were very communicative and made sure to share all the resources needed to prep for the interview.
first round was an online assessment and the next round was an online coding. The interview was fine and focused on core questions around SQL. The interview was a helpful exercise in checking the core competencies needed for the job. However I lost my power during the interview
Experienced Business Intelligence Engineer with strong skills in SQL, Python, AWS QuickSight, Tableau, and ETL pipelines. Strong background in data modeling, dashboarding, and automation, providing insights that boost efficiency, accuracy, and strategic business decisions.
Common Amazon Business Intelligence Engineer interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
When solving data analytics challenges in a project, how did you approach them using SQL?
- 2
Explain how SQL window functions work and when you would use them.
- 3
Can you write a SQL query to solve this problem?
- 4
Can you solve a basic Python coding problem?
Interview question formats
Technical35.3%
Behavioral29.7%
Coding15.5%
Other9.3%
Case7.3%
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Interview information is based on candidate reports and may not represent the current official hiring process of Amazon.