Principal Data Analyst (Retail Inventory)
C
CoupangE-commerce Retail
Seoul, South Korea; Shanghai, ChinaFull-TimePrincipal
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 8-10 years
- Required Skills
- PythonSQLData AnalysisMachine LearningTableauAirflow
Requirements
- 8-10 years of experience in Category Analytics, Decision Science, Business Analytics, or Data Science.
- Bachelor’s degree in a quantitative field such as Computer Science, Engineering, Statistics, Economics, or Mathematics.
- Expert proficiency in SQL and Python for data manipulation and modeling.
- Proven experience applying machine learning or optimization models to business problems like pricing or inventory optimization.
- Strong commercial mindset with experience in e-commerce, retail, or tech startup environments.
- Ability to explain complex models to non-technical stakeholders.
- Proactive, self-starting mentality with experience managing projects in remote-first environments.
- Master’s degree or PhD in a quantitative field preferred.
- Experience with data pipeline tools such as Airflow and large-scale environments like Redshift, Hive, or Spark.
- Experience with data visualization tools like Tableau or Power BI.
- Deep understanding of supply chain, inventory management, or retail finance.
Responsibilities
- Design, build, and deploy price elasticity models to optimize SKU sell-through and recovery value.
- Collaborate with Marketing and CX teams to drive campaign views and conversion.
- Develop and implement advanced optimization logic for Days of Cover (DOC) targets.
- Model and simulate multi-tier vendor contracts to maximize rebate earnings while controlling overstock risk.
- Create and test automated discount algorithms for near-expiry or slow-moving products.
- Identify and model new opportunities for data science and algorithmic solutions across the inventory lifecycle.
- Collaborate with leadership in Inbound, Inventory Health, and Clearance to define and solve complex business problems.
- Translate quantitative insights into clear business-facing narratives for finance and retail stakeholders.
View Full Description & ApplyYou'll be redirected to the employer's site
