About the job
At Coupang, our mission is to astonish customers. With a commitment to transforming shopping, dining, and living experiences, we are redefining the multi-billion-dollar e-commerce sector. As one of the fastest-growing e-commerce platforms, we have established an unmatched reputation for reliability and innovation in South Korea.
We blend the dynamic spirit of a startup with the robust resources of a leading global public company, enabling us to sustain rapid growth and launch new services with unparalleled speed. At Coupang, we embrace an entrepreneurial mindset, fostering opportunities for groundbreaking initiatives and innovations. Our team consists of bold, ambitious individuals who take pride in their hands-on contributions to our collective success. Experience personal and professional growth daily with us at Coupang.
Join us in our quest to shape the future of commerce, pushing the limits of innovation to address challenges and redefine conventional boundaries. Become part of Coupang to craft extraordinary experiences in a high-tech, hyper-connected world.
Position Summary
As a pivotal member of Coupang's Rocket Growth (RG) team, which focuses on enhancing seller capabilities for superior delivery and post-purchase experiences, the Staff Data Analyst will play a key role in driving our ambitious roadmap of innovative products and features. This position is ideal for motivated individuals who excel at solving intricate problems and collaborating with talented peers to revolutionize e-commerce.
The Staff Data Analyst will oversee projects related to the quality, availability, and depth of data necessary for informed decision-making at Coupang. Leveraging their extensive expertise in SQL, data ETL development, and data integrity, they will ensure that critical information is accessible for comprehensive analysis throughout the organization. Additionally, this role will involve contributing to analytics initiatives aimed at propelling Coupang's growth and supporting specific endeavors across Growth Marketing and other business units while mentoring junior data analysts in their professional development.

