Staff Data Analyst

The role

You will drive strategic decision-making by solving complex supply chain and inventory optimization challenges through advanced analytics. You will work with Product, Supply Chain, Forecasting, and Engineering teams to develop data-driven solutions for the Fresh business.

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.

Required qualifications

• 8+ years of experience leveraging data to drive strategic decisions in Data Analytics, Business Analytics, Supply Chain Analytics, or a related field.
• Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Operations Research, or a related quantitative discipline.
• Deep expertise in SQL with extensive experience querying, manipulating, and extracting insights from large-scale enterprise datasets.
• Proficiency in Python and/or R for data manipulation, exploratory analysis, and statistical modeling.
• Mastery of business intelligence and visualization tools (e.g., Tableau, Power BI).
• Professional business-level English communication skills.

Nice to have

• Specialized background in eCommerce, Retail, Supply Chain, Inventory Management, Logistics, or Operations Research.
• Hands-on experience developing optimization models, forecasting frameworks, or simulation-based analyses to solve operational bottlenecks.
• Familiarity with predictive analytics, machine learning algorithms, and experimentation methodologies (A/B testing, causal inference).
• Demonstrated ability to lead large-scale analytical initiatives and mentor junior and mid-level analysts.
• Proven success working collaboratively with cross-functional, globally distributed teams.
• Master's degree or PhD in a quantitative or engineering discipline.

About the company

Coupang is a fast-growing e-commerce company and a dominant force in South Korean commerce. It features a startup culture with the resources of a large global public company.