[Coupang Pay] Staff Data Analyst
A senior data analyst on Coupang Pay's analytics team who owns payment metrics, data marts, and Tableau dashboards, runs deep-dive analyses of payment funnels and customer behavior, and supports A/B testing to guide product decisions. Core stack: SQL, Tableau, and optionally Python/Spark/Redshift/Airflow with LLM/GenAI exploration.
- Compensation
- Not disclosed
- Location
- Seoul, South Korea
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Contract
- Experience
- 4+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 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 (written and verbal)
Nice to have
- 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 senior candidates: experience leading complex analytical initiatives, developing scalable analytics frameworks, and influencing product or business strategy
Full description
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.