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Amazon Business Intelligence Engineer Interview
Questions & Process

What 130 candidates said about the rounds, the
questions and how long the wait really is.

From 130 candidate reports · FREE TO READ

2.7Rounds average
36.6Day average
AverageTypical difficulty
66.9%Positive experience

Questions candidates reported

Quoted word for word from Amazon interview reports.

Engineering accounts for 10,860 of 130 reports, so company-wide questions may lean toward that function. Pick your role above for questions from your own loop.

Explain how SQL window functions work and when you would use them.

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When solving data analytics challenges in a project, how did you approach them using SQL?

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Formats, difficulty and experience

Across all 130 Amazon interview reports.

Question formats

Technical35.3%
Behavioral29.7%
Coding15.5%
Other9.3%
Case7.3%

Interview difficulty

Easy10%
Average62.3%
Difficult27.7%

Candidate experience

Positive66.9%
Neutral24.6%
Negative8.5%

Reports by job function

Engineering10,860
Operations1,308
Product1,188
Sales1,054
Other762
Marketing542

The interview process

Described in candidates’ own words.

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.Candidate-reported process
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 interviewCandidate-reported process
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.Candidate-reported process
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