Staff Data Analyst
Coupang (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted 16h ago
Reach people at Coupang
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Coupang you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end analysis and development of analytical frameworks and decision models addressing complex supply chain and inventory optimization problems.
- Partner with Product, Engineering, Supply Chain, and Business teams to identify opportunities, define success metrics, and influence strategic decisions for Coupang's Fresh business.
- Build scalable dashboards, KPIs, and automated reporting; conduct simulations and scenario analyses to support operational strategy and senior leadership decisions.
Minimum Requirements
- 8+ years experience in Data Analytics, Business Analytics, Supply Chain Analytics, or related fields.
- Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Operations Research, or related quantitative discipline.
- Advanced proficiency in SQL, Python and/or R, and visualization tools like Tableau or Power BI.
- Work Experience Required: 8+ years in relevant analytics roles.
Ideal Candidate Profile
- Experienced with supply chain, inventory, retail, or eCommerce analytics and advanced optimization or forecasting modeling.
- Proven ability to independently own analytical projects from concept to implementation and influence senior stakeholders.
- Skilled in building data products and frameworks that improve forecasting accuracy and operational efficiency in fast-growing eCommerce environments.