Staff Data Analyst

Overview

Staff Data Analyst for Coupang’s Retail and Selection team, building data strategy and governance to improve selection, pricing, and inventory health.

What you'll do

• Lead projects to improve quality and depth of selection data and ensure “source of truth” reliability.
• Architect and maintain ETL processes integrating market, vendor, and customer demand signals.
• Use LLMs and prompt engineering to automate catalog categorization and extract insights from unstructured vendor data.
• Own and evolve the Retail Team Knowledge Base with centralized, searchable technical documentation.
• Support business onboarding with training and self-service dashboards for business users.
• Build decision models for SKU rationalization, automated replenishment, and benchmarking.
• Run simulations to predict selection-change impact on retention and long-term profitability.

What you'll need

• 8+ years of relevant data analytics or business intelligence experience.
• Expert proficiency in SQL for data extraction and manipulation.
• Expert proficiency in Python and/or R for data extraction and manipulation.
• Practical experience with prompt engineering and generative AI tools for data problems.
• Mastery of data storytelling using PowerBI, Tableau, or similar tools.
• Business-level English fluency and ability to teach/onboard non-technical business users.

Nice to have

• Experience with GitHub version control and Airflow (or similar) workflow orchestration tools.
• Experience managing internal wikis (Confluence/Notion) or building structured knowledge bases.
• Prior experience in retail, e-commerce selection management, or demand forecasting.
• Strong statistics and ML knowledge (e.g., elasticity modeling, clustering for segmentation).

Details

• Hybrid work model.
• Location: Bengaluru.