Company Introduction:
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I 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 commerce industry. We are one of the fastest-growing retail companies that established an unparalleled reputation for being a leading and reliable force in the commerce industry.
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 since our inception. At Coupang, every day is filled with the excitement of building, 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 challenge traditional tradeoffs. Join Coupang now to create an epic impact in this always-on, high-tech, and hyper-connected world.
Role Overview:
As a product data analyst, you will be responsible for analyzing our tens of millions of data points and providing actionable insight for product managers and leadership. This insight will help us to create WOW experience for our customers. Product Analytics creates meaningful insights, seeks answers to complex business questions, and enables a better understanding of customer behavior.
This is a rare opportunity to be part of a diverse, growing, and dynamic team with so much upward growth potential. You will be part of an international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business.
What will you do:
Essential Qualifications
Preferred Qualifications:
Recruitment Process
Details to Consider
Privacy Notice
Coupang is a leading e-commerce company disrupting the industry with innovative services and a customer-centric approach.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Analyst Q&A's