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 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
As a Staff Data Analyst within the Fresh SCM Automation team, you will drive strategic decision-making by solving complex supply chain and inventory optimization challenges through advanced analytics. The team is responsible for building scalable analytical frameworks, products, and data science capabilities that improve product availability while optimizing inventory and operational costs. You will work closely with Product, Supply Chain, Forecasting, and Engineering teams to influence key business decisions and develop data-driven solutions that support Coupang's rapidly growing Fresh business.
About the Team The Fresh SCM Automation team develops products and analytical capabilities focused on forecasting, capacity orchestration, inventory placement, auto-replenishment, master data management, and vendor supply design. The team solves complex operations research and optimization problems to maximize in-stock rates while balancing costs such as inventory holding, waste, and scrap.
What You Will Do - Lead end-to-end analysis of complex supply chain and inventory management problems.
- Develop analytical frameworks and decision models to improve forecasting accuracy, replenishment efficiency, and inventory optimization.
- Partner with Product, Engineering, Supply Chain, and Business stakeholders to identify improvement opportunities and define success metrics.
- Build scalable dashboards, KPIs, and automated reporting solutions to support business visibility and decision-making.
- Design and execute simulations and scenario analyses to evaluate operational strategies and business trade-offs.
- Utilize SQL, Python, R, and visualization tools to extract, analyze, and structure large datasets.
- Drive root-cause analysis and generate actionable recommendations for senior leadership.
- Mentor analysts and contribute to elevating analytical standards across the organization.
Basic Qualifications
- Problem Solver at Heart: Passionately approaches complex or undefined problems with curiosity, analytical thinking, and a drive to find novel solutions.
- End-to-End Ownership: Proven track record of independently taking projects from initial concept through execution and delivery with minimal supervision.
- Domain & Field Experience: 8+ years of experience leveraging data to drive strategic decisions in Data Analytics, Business Analytics, Supply Chain Analytics, or a related field.
- Education: Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Operations Research, or a related quantitative discipline.
- Advanced SQL & Data Wrangling: Deep expertise in SQL with extensive experience querying, manipulating, and extracting insights from large-scale enterprise datasets.
- Statistical Programming: Proficiency in Python and/or R for data manipulation, exploratory analysis, and statistical modeling.
- Executive Visualization & Reporting: Mastery of business intelligence and visualization tools (e.g., Tableau, Power BI) to translate complex data into clear, intuitive dashboards and executive-ready reporting.
- Stakeholder Influence & Communication: Outstanding ability to translate technical findings into actionable business insights and influence senior stakeholders across functions, backed by professional business-level English communication skills.
Preferred Qualifications
- Domain Expertise: Specialized background in eCommerce, Retail, Supply Chain, Inventory Management, Logistics, or Operations Research.
- Advanced Modeling & Optimization: Hands-on experience developing optimization models, forecasting frameworks, or simulation-based analyses to solve operational bottlenecks.
- Machine Learning & Experimentation: Familiarity with predictive analytics, machine learning algorithms, and experimentation methodologies (A/B testing, causal inference).
- Leadership & Mentorship: Demonstrated ability to lead large-scale analytical initiatives and mentor junior and mid-level analysts.
- Global Collaboration: Proven success working collaboratively with cross-functional, globally distributed teams.
- Advanced Degree: Master's degree or PhD in a quantitative or engineering discipline.
Type of work model
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.
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