Shopee Data Analyst Interview Questions + Guide in 2025

Overview

Getting ready for an Data Analyst interview at Shopee? The Shopee Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:

  • Know what skills are necessary for Shopee Data Analyst roles.
  • Gain insights into the Data Analyst interview process at Shopee.
  • Practice real Shopee Data Analyst interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Shopee Data Analyst interview.

Challenge

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Shopee Data Analyst Interview Process

Typically, interviews at Shopee vary by role and team, but commonly Data Analyst interviews follow a fairly standardized process across these question topics.

Click or hover over a slice to explore questions for that topic.
SQL
(157)
Machine Learning
(54)
Analytics
(49)
Data Structures & Algorithms
(45)
Business Case
(42)

We've gathered this data from parsing thousands of interview experiences sourced from members.

Shopee Data Analyst Interview Questions

Practice for the Shopee Data Analyst interview with these recently asked interview questions.

QuestionTopicDifficulty
Data Structures & Algorithms
Easy

Given a list of integers, identify all the duplicate values in the list. Assume that the list can contain both positive and negative numbers, and the order of the list does not matter. A number is considered a duplicate if it appears more than once in the list. Return a list of the duplicate numbers.

Example 1:

Input:

nums = [1, 2, 3, 1, 2, 3]

Output:

find_duplicates(nums) -> [1, 2, 3]

The numbers 1, 2, and 3 all appear more than once in the list, so they are considered duplicates.

Example 2:

Input:

nums = [1, -1, 2, 3, 3, -1]

Output:

find_duplicates(nums) -> [-1, 3]

The numbers -1 and 3 both appear more than once in the list, so they are considered duplicates. Note that the order of the output does not matter.

Example 3:

Input:

nums = [1, 2, 3, 4, 5]

Output:

find_duplicates(nums) -> []

None of the numbers in the list appear more than once, so there are no duplicates.

Analytics
Hard
Behavioral
Easy
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Shopee Data Analyst Jobs

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Data Analyst - Junior [T500-25124]
Senior Data Analyst
Data Analyst Senior F/H
Senior Real Estate Research Analyst
Senior Data Analyst I (Onsite FL)

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