Staff Product Analyst

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 since our inception. We are all entrepreneurs 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 tradeoffs. Join Coupang now to create an epic experience 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 an opportunity to be part of a diverse, growing, and dynamic team with an 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 You Will Do

• Collaborate and be a thought partner with/for product managers, designers, program managers, engineers, and other stakeholders to make data-driven decisions.
• Create and provide new customer experience metrics and insights to ensure the best shopping experience for our customers.
• Telling your data story to product and business leadership
• Co-build analytic culture as part of a growing data team
• Creating analytic products to help with data-driven decision making

Basic Qualifications

• Bachelor’s degree in statistics, computer engineering or any other analytic disciplines
• Expert SQL knowledge, with 7+ years’ work experience in data analytics
• Experience in providing clear and actionable recommendations by analyzing a vast amount of data
• Experience with BI tools like Tableau, Metabase, Looker, etc.
• Experience with big data tools like Hadoop, Spark, and Presto

Preferred Qualifications

• Experience with Python and R/SAS, or other statistical packages
• Experience in working with version control (Git, SVN, etc.)
• Well diverse in or comfortable with learning new modern data tools
• Experience analyzing e-commerce and customer behavior logs
• Strong English skills (both verbal and written) are a plus but not a requirement

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.