Staff Data Analyst (Category Analytics)

New roles land in Following.

Seoul, South Korea; Shanghai, ChinaPosted today

Apply on Coupang's career page

Market pay check

Matched to Data and network professionals

Source: Ministry of Employment and Labor wage information system (wage.go.kr), wage distribution by occupation.

What you'd do

Design and deploy price elasticity models optimizing sell-through for identified SKU cohorts
Collaborate with Marketing and CX teams to improve views and conversion for SKUs
Develop optimization logic for Days of Cover targets balancing stock,capital,and capacity

What they want

Bring eight to ten years in category analytics,decision science,or data science roles
Hold a bachelor's degree in a quantitative field or equivalent practical experience
Demonstrate expert proficiency in SQL and Python for data manipulation and modeling

Nice to have

Hold an engineering degree,Master's,or PhD in a quantitative field
Use data pipeline tools like Airflow in large-scale environments such as Redshift or Spark
Build visualizations in Tableau or Power BI to communicate analytical insights effectively

Seoulstart's read

Visa tier (likely): E-7 specialty / professional (likely)
Korean language: Korean not required
English friendliness: High: JD in English, foreign-friendly signals
Context: Seoul Coupang retail inventory strategy role; expect builder ownership of pricing,rebate,and clearance models at massive scale.

This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.

Open posting