Data Analyst, Business Intelligence

Shopee

📍Jakarta, Indonesia
Posted May 22, 2026
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Job Overview

Position

Data Analyst, Business Intelligence

Company

Shopee

Location

Jakarta, Indonesia

Work Type

On-site

Job ID

li-4417137616

Job Description

Job Description

  • Assist the various business units as a discussion partner to plan, strategise, and grow Shopee's business by enabling data-driven decision-making

  • Serve as in-consultant who simplifies complex terminologies into more understandable insights to internal stakeholders

  • Collect, clean, and analyze large data sets to support business decisions

  • Develop and deploy dashboards to monitor key metrics.

  • Conduct ad-hoc analysis to support decision-making and special projects

Requirements

  • Master's or Bachelor's degree in quantitative fields or a relevant field of study

  • Experience working with one or more language for querying (e.g. SQL)

  • Familiarity working with BI tools (e.g Tableau, PowerBI, Looker) strongly preferred

  • Familiarity with advanced analytics languages like Python or R will be an advantage

  • Experience working with multiple stakeholders across various divisions

  • Ability to converse in English and Bahasa Indonesia to communicate with internal stakeholders

  • Exceptional interpersonal skills

  • Self-starter with a can-do attitude
✦

Interview Prep

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Key Skills

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Practice Questions

💡Technical Questions (3)
  • 1.How would you write a SQL query to calculate the Month-over-Month growth rate of Gross Merchandise Value (GMV) for a specific product category in Shopee, and what window functions would you use?
  • 2.A Shopee campaign manager says the recent flash sale didn't drive incremental orders, but you suspect the data shows otherwise. How do you approach cleaning and analyzing the data to validate this?
  • 3.What is your process for designing a BI dashboard in Tableau or Looker for a non-technical marketing team to monitor daily campaign performance?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to explain complex data findings to a non-technical stakeholder to influence a business decision.
  • 2.Describe a situation where you had to manage conflicting requests from multiple stakeholders across different divisions.
  • 3.Give an example of a time you proactively identified a data insight that led to a business improvement, demonstrating your self-starter attitude.
🧩Situational Questions (2)
  • 1.You are tasked with an ad-hoc analysis to determine why a specific seller's traffic dropped suddenly last week, but the data from the user database and the product database seems to be mismatched. What do you do?
  • 2.A business unit leader wants you to build a dashboard to track 50 different metrics for their division. You know this will be too cluttered to be useful. How do you handle this conversation?

Resume Keywords

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SQLTableauPowerBILookerDashboard DevelopmentData CleaningAd-hoc AnalysisStakeholder ManagementData-Driven Decision MakingPythonE-commerceBusiness Intelligence

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