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Coupang

Company

Staff Data Analyst

Bengaluru

Job Description

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional trade-offs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

This is for a role in the Supply Chain Automation organisation working with product and engineering to build and improve our Supplier Integration products and programs. It is a hands-on role needing deep analytics and decision science skills including but not limited to metric creation/definition, predictive modelling, governance, business insights generation, etc.

What You Will Do

  • You will lead multiple, impactful projects related to the quality, availability, and depth of data needed by Coupang to make business decisions.
  • You will use your deep expertise in SQL and other languages, data ETL development, and data integrity to ensure that necessary information is available for all levels of analysis at Coupang.
  • You will  will work closely with Engineering and Product teams to not only accomplish business goals, but to come up with novel ways to capture and analyze data.
  • Additionally, you will contribute to analytics projects designed to help drive Coupang's growth, support specific initiatives from all areas of Coupang, and help analysts across the team and organization with their development.

 

Basic Qualifications

  • Minimum Bachelor's degree or higher
  • 6-10 years of experience in Data Extraction & Data Analysis
  • Proficiency is SQL & Python
  • Experience with Data Visualization tools such as Tableau.
  • Exposure to Analytical tools & techniques - classical techniques (regression, etc), ML techniques (XG Boost, Random Forest, etc.

 

Preferred Qualifications

  • Exposure to time series forecasting and machine learning would be a bonus.
  • Prior experience working in ecommerce or consumer technology companies is preferable
  • Experience in Stakeholder Management

Type of work model

Hybrid

Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work.  

Details to consider 

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.  

Privacy Notice 

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/  

Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!

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Coupang

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About the job

Posted on

Nov 3, 2025

Apply before

Dec 3, 2025

Job typeFull-time
CategoryData Analyst

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