Staff Data Analyst (SCM Autonomation)

About Coupang 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 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 at since our inception. We are all entrepreneurial 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. Job description: We are seeking an exceptionally pragmatic and results-driven Lead Data Analyst to be the strategic core of our Supply Chain team. Your mission is to solve our toughest inventory challenges—from preventing stockouts to clearing excess goods. This is not a back-office reporting role. You will be a hands-on catalyst who can "figure things out," develop clever solutions, and collaborate across the company to see your insights implemented in our production systems. Key responsibilities: Lead the Full Cycle from Idea to Production-Ready Insight: Ideate Develop Smart Heuristics: Proactively identify weaknesses in our supply chain systems and develop clever, practical logic. Your focus will be on forecast correction logic (to override our main models when they fail), Out-of-Stock (OOS) attribution models , and excess inventory flagging rules . Build Rapid Proof-of-Concepts (POCs): Quickly validate your ideas with hands-on POCs. You will build working prototypes, such as a Root Cause Analysis dashboard that automatically attributes OOS events to causes like 'Supplier Delay' or 'Under-forecasting'. Champion for Productionalization: Partner closely with our Demand Planning and Engineering teams to get your validated POCs productionalized. You are the subject-matter expert who ensures your logic is accurately integrated into our core inventory planning systems. Become the Go-To Expert on Inventory Health: Own the analytics around our key supply chain KPIs, including Out-of-Stock rates and Sell-Through. You will not just report on these numbers; you will provide the "why" behind them. Act as a Data Translator: Proactively communicate with technical and non-technical partners, ensuring stakeholders understand not just the 'what' but the 'so what' of your findings. You are the bridge that turns complex analysis into clear business directives. Mentor and Elevate: As a lead, you will guide and mentor other analysts on the team, establishing best practices for high-impact, efficient, and reproducible analysis. Qualifications: 7+ years of professional experience in data analytics, business intelligence, or a related quantitative field. Development background is highly preferred. You think in terms of systems and build solutions for the long term. You likely started your career as a developer or have consistently worked in roles that required strong software engineering principles. Domain expertise in Supply Chain, Inventory Management, or Demand Planning is a significant advantage. Experience in e-commerce is also a major plus. Core Technical Proficiencies: Database Expertise (SQL): You possess expert-level SQL skills. You are highly experienced in writing clean, efficient queries to manipulate massive dat ... (truncated, view full listing at source)