Sr~staff Data Analyst (coupang Eats)

Coupang Inc

Seoul, South Korea
**
5+ years data analysis experience
Advanced sql and hql expertise
Etl and dimensional modeling skills
** Coupang Inc. is seeking a Sr. Data Analyst for its Coupang Eats division in Seoul, South Korea, to drive data-informed decision-making and operational efficiency through A/B testing and data analysis. The ideal candidate will possess extensive experience in data analytics, SQL, and data visualization tools, with a strong business sense and the ability to communicate effectively with stakeholders. **

Job Summary

  • The Eats Analytics team aims to ensure every business decision within Coupang Eats is driven by data through actionable insights and robust infrastructure.
  • Responsibilities include designing and analyzing hundreds of monthly A/B tests, building Airflow-based data pipelines, and supporting operational decisions like demand forecasting.
  • Candidates must possess strong analytical skills, the ability to communicate complex findings to non-technical stakeholders, and experience in large-scale business unit analytics.

Matching Summary

Match Score: 75

** Coupang Inc. is seeking a Sr. Data Analyst for its Coupang Eats division in Seoul, South Korea, to drive data-informed decision-making and operational efficiency through A/B testing and data analysis. The ideal candidate will possess extensive experience in data analytics, SQL, and data visualization tools, with a strong business sense and the ability to communicate effectively with stakeholders. **

Skills & Requirements

Must-have

  • 5+ years data analysis experience
  • Advanced SQL and HQL expertise
  • ETL and dimensional modeling skills
  • A/B test design and execution
  • Airflow pipeline development
  • Tableau or Power BI proficiency

Nice-to-have

  • Python programming experience
  • E-commerce or food delivery background
  • Team management experience
  • Strong business sense and communication
  • Master's degree or MBA preferred

Key Requirements

  • Bachelor's degree in quantitative field (STEM, Finance, Economics, Statistics)
  • 5+ years of relevant work experience in data analysis roles
  • Expert knowledge of SQL/HQL, ETL, and dimensional modeling
  • Fluency in English as a daily working language

Work Rights

Not specified

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