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Staff Data Analyst (Coupang Logistics Service)

Seoul💼 Full-time🗓 2026-07-20 → 2026-07-31

Core

Lead end-to-end data analysis and FP&A projects to drive logistics business decisions, connecting operational data with financial metrics to optimize cost, speed, and quality trade-offs.

Role type

Staff Data Analyst (Logistics FP&A)

Builds

Actionable insights, KPI frameworks, automated dashboards, and data pipelines for Coupang's logistics operations.

Domain

E-commerce logistics and supply chain finance

Deliverable

production ML models | dashboards & analysis | client delivery

Required skills

SQL/HQL, ETL development, data modeling (dimensional), Python, A/B testing, statistical analysis, Tableau/Power BI

Preferred skills

AI/LLM integration, Airflow, AWS, metric layer design

Technologies

Hive, Presto, Redshift, Athena, Spark, Tableau, Power BI, Python, Airflow, AWS

Responsibilities

Define business problems and execute end-to-end data analysis to derive root causes and insights; Design and monitor core KPIs to track performance and identify improvement opportunities; Build and maintain automated dashboards and reporting processes; Collaborate cross-functionally to structure business questions into analytical frameworks; Interpret complex logistics structures using data and financial indicators to support executive decision-making; Validate data quality and integrity across data pipelines.

Seniority

Staff, hands-on IC with strategic impact

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