Amazon BIE final round interview summary
Round 1:
Visualization: Introduce the dashboard you built, explain which visualizations you used, and explain why you chose them.
Analytical: Suppose you're the manager of a delivery station. In the past you manually assigned packages to delivery drivers, and now you need to build a model that automatically assigns package quantities.
- What data and methods would you use to optimize the assignment?
- How would you evaluate whether the new method is better than the old one?
One last BQ (Behavioral Question).
Round 2: SQL round
Login data analysis:
Given two tables:
Table 1: user_id, mobile_login
Table 2: user_id, desktop_login
Calculate:
- the percentage of users who only logged in via mobile
- the percentage of users who only logged in via desktop
- the percentage of users who logged in via both mobile and desktop
Employee work hours calculation:
Table 3: employee_id, in, 1/30/8:00; employee_id, out, 1/30/13:00
Calculate each employee's daily work hours.
One BQ.
Round 3:
First question: a Product Market Fit question, using Alexa Shopping as the example.
Second question: how do you root-cause a problem at work?
- What solutions would you propose?
- How do you use data to drive decisions and persuade stakeholders?
One BQ.
Last two rounds: Behavioral Questions (BQ)
These questions dig deep into your problem-solving ability, including:
- How did you solve a specific problem? What resistance did you run into?
- What was the result?
- Did other people end up adopting your solution? If so, how did you verify it was actually being widely used?
Amazon asks a lot of BQs and goes deep on them — by the last round you might feel like you're running out of stories, so prepare enough examples ahead of time!
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