Manager, Data Analytics

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

Rocket Growth (RG) is Coupang’s fulfilment business that empowers sellers to provide customers with best-in-class delivery and post-purchase experiences.

As one of Coupang’s fastest-growing teams, RG has an ambitious roadmap of innovative products and features. We are looking for driven individuals who thrive on solving complex problems and collaborating with talented peers to shape the future of e-commerce.

A Staff Data Analyst works on projects related to the quality, availability, and depth of data needed by Coupang to make business decisions. This person will use their deep expertise in SQL, data ETL development, and data integrity to ensure that necessary information is available for all levels of analysis at Coupang. Additionally, this person will contribute to analytics projects designed to help drive Coupang’s growth, support specific initiatives from Growth Marketing and other business units, and help less senior data analysts with their development.

 

What You Will Do

• Leads projects related to the quality, availability, and depth of data needed by Coupang to make business decisions. 
• Use their deep expertise in SQL, data ETL development, and data integrity to ensure that necessary information is available for all levels of analysis at Coupang. 
• Contribute to analytics projects designed to help drive Coupang’s growth, support specific initiatives from Growth Marketing and other business units, and help senior data analysts with their development.
• Own and drive critical decision-making across a range of ambiguous business problems using data.
• Structure and analyze large datasets, define constraints and parameters, and develop decision models.
• Run simulations and optimization analyses to improve business outcomes and support strategic decisions.
• Challenge existing processes and propose data-backed improvements.
• Translate insights into actionable recommendations and influence stakeholders across functions.
• Collaborate with diverse teams to align on goals and deliver impactful solutions.

 Basic Qualifications:  

• 8+ years of relevant working experience in a data analytics role
• Proficiency in Excel, SQL and Python/R for data extraction, manipulation and analysis
• Strong knowledge of data visualization (PowerBI, Tableau or other tools) and data storytelling to communicate insights effectively to non-experts
• Business-level fluency in English

Preferred Qualifications:

• Experience with data engineering tools such as GitHub and Airflow
• Strong knowledge of statistics, ML techniques
• Previous experience in e-commerce, logistics, or AdTech companies

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 

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