Data Analyst
Core
Ensuring data quality, availability, and depth for Coupang's retail selection, pricing, and inventory optimization using SQL, ETL, and AI-driven analytics.
Role type
Data Analyst (Retail & Selection)
Builds
Decision models for SKU rationalization, automated replenishment, and competitive benchmarking; self-service dashboards for Category Managers and Vendors.
Domain
E-commerce / Retail
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python or R, Prompt Engineering, Generative AI tools, PowerBI or Tableau, Data Storytelling, Business-level English
Preferred skills
GitHub, Airflow, Retail/E-commerce selection management, Demand Forecasting, Statistics, Machine Learning techniques (via careerplan.io/jobs/8027781-data-analyst-at-coupang)
Technologies
SQL, Python, R, PowerBI, Tableau, GitHub, Airflow, LLMs
Responsibilities
Maintain robust data ETL processes to integrate market trends, vendor performance, and customer demand; leverage LLMs and prompt engineering to automate catalog categorization and extract insights from unstructured data; structure large-scale datasets for SKU rationalization and automated replenishment; run complex simulations to predict selection changes' impact on retention and profitability; design training programs and self-service dashboards to onboard business users.
Seniority
Mid-level, hands-on IC
