Delivering convenience to millions in South Korea
Coupang is a leading e-commerce platform in South Korea, founded in 2010 and headquartered in Seoul. The company serves millions of customers with its fast delivery service, Rocket Delivery, which promises same-day or next-day delivery on a wide range of products. Coupang went public in March 2021, ...
Coupang offers competitive salaries, stock options, generous paid time off, and a flexible remote work policy to support work-life balance....
Coupang fosters a customer-centric culture, emphasizing speed and efficiency in its operations. The company values innovation and encourages employees...
Coupang • Seoul, South Korea
Coupang is hiring a Staff Data Analyst to drive data-driven decision-making across various departments. You'll analyze complex datasets and support product strategy and customer engagement initiatives. This role requires strong skills in SQL and Python, along with experience in data analysis and machine learning.
You have a strong background in data analysis with at least 5 years of experience in a similar role, where you've successfully derived insights from complex datasets to inform business strategies. Your expertise in SQL and Python allows you to manipulate and analyze data efficiently, and you are comfortable working with large datasets to identify trends and opportunities. You possess a solid understanding of machine learning concepts and have experience implementing predictive models to enhance decision-making processes. You are a collaborative team player who enjoys working with cross-functional teams, including product, infrastructure, and operations, to drive customer engagement and optimize performance. You are passionate about leveraging data to solve technical and business challenges in a fast-paced environment. You thrive on turning data into actionable insights and are eager to contribute to the future of cloud analytics at Coupang.
Experience with A/B testing methodologies and tools is a plus, as you will be involved in designing and executing experiments to evaluate product features and pricing strategies. Familiarity with cloud infrastructure and analytics tools will enhance your ability to contribute effectively to the CIC Analytics team. You are proactive in staying updated with industry trends related to cloud analytics and AI infrastructure, which will help you bring innovative ideas to the table.
As a Staff Data Analyst at Coupang, you will play a pivotal role in analyzing GPU cloud infrastructure and customer usage data to uncover performance trends and identify cost optimization opportunities. You will design scalable data solutions, including data marts and pipelines, to support reporting and forecasting needs across the organization. Your responsibilities will include defining key business metrics and monitoring them through dashboards and automated reports to ensure that the company is on track to meet its goals. You will collaborate closely with product, infrastructure, and AI teams to provide insights that drive customer acquisition, retention, and value realization. Additionally, you will design and execute experiments, such as A/B tests, to evaluate product features and operational strategies, ensuring that data-driven decisions are at the forefront of Coupang's growth initiatives. You will also be expected to continuously monitor industry trends in cloud analytics and AI infrastructure, contributing to the strategic direction of the CIC.
Coupang offers a dynamic work environment where you can witness your growth alongside your colleagues and the company. You will have the opportunity to work on cutting-edge projects that shape the future of e-commerce and cloud technology. We provide a culture that encourages innovation and entrepreneurship, allowing you to take initiative and drive new ideas forward. Our commitment to employee development means you will have access to resources and opportunities to enhance your skills and advance your career. Join us at Coupang, where you can make a meaningful impact in the world of e-commerce and cloud analytics.
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