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 are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading 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
Coupang Pay provides seamless and reliable payment experiences across Coupang’s commerce ecosystem. Our Data Analytics team partners closely with Product, Business, Data Science, and Engineering to build trusted data foundations, understand business performance, generate actionable insights, and support data-driven product decisions.
We are looking for a Data Analyst who combines strong technical analytics capabilities with strong business judgment. This role goes beyond reporting and building data mart as needed - the analyst is expected to independently identify business problems, conduct systematic and in-depth analyses, and translate findings into recommended actions.
What You Will Do
- Own key payment metrics, data marts, and Tableau dashboards to provide accurate and scalable visibility into business and product performance.
- Conduct systematic deep-dive analyses to diagnose business problems, uncover drivers and opportunities, and provide actionable recommendations.
- Analyze payment funnels, customer behavior, payment methods, conversion, transaction success, and other key business trends.
- Partner with Product and Business teams to define OKRs, identify analytical opportunities, and influence product and business decisions.
- Support A/B testing and experimentation, including metric design, experiment readouts, deep dives, and interpretation of business impact.
- Identify gaps in existing metrics and data, and design reusable datasets, analytical frameworks, and self-service solutions.
- Communicate complex analytical findings clearly to business, product, and leadership stakeholders and drive alignment on recommended actions.
- Explore new analytics technologies, including LLM/Generative AI, to improve analytical depth, productivity, and decision-making.
Basic Qualifications
- 4+ years of experience in data analytics, product analytics, business analytics, or a related quantitative role.
- Advanced SQL skills and experience working with large-scale datasets and building data marts.
- Strong experience with Tableau or similar BI/visualization tools.
- Demonstrated ability to independently structure ambiguous business problems and conduct rigorous, in-depth analysis.
- Strong business judgment with a track record of translating data into insights, recommendations, and measurable actions.
- Experience defining business/product metrics and supporting experimentation or A/B testing.
- Strong communication and cross-functional collaboration skills, with professional proficiency in English and/or Chinese (both written and verbal).
Preferred Qualifications
- Experience in payments, fintech, e-commerce, or other high-volume transaction businesses.
- Experience with Python, Spark/Hive, Redshift, Airflow, or similar data technologies.
- Strong knowledge of statistical analysis, experimental design, and causal inference.
- Experience applying LLM/Generative AI or other emerging technologies to analytics, automation, or business problem-solving.
- For more senior candidates, demonstrated experience leading complex analytical initiatives, developing scalable analytics frameworks, and influencing product or business strategy.
Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
- Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.
- Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
- This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.
- This is a contract position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.
https://www.coupang.jobs/en/privacy-policy
Document Return Policy (This notice MUST be included in a job posting in Korea only to comply with the Fair Hiring Procedure Act.)
- This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
- A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
- A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email ([email protected]). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
- In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
- The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.