PitchMeAI Jobs
Coupang

Principal Data Analyst (Category Analytics)

Coupang · Seoul, South Korea; Shanghai, China

Posted 9 days ago

or apply directly on Coupang's site. We never take the application ourselves.

Is this posting real?

This role has been open
9 days
Coupang's roles stay open a median of 45 days
Reposted
No
Salary listed
No
1% of Coupang's roles list one
Ghost-job risk at Coupang
high
365 stale, 14 reposted of 717 open
Hiring momentum
1065 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Coupang's own greenhouse board since 2026-08-03. Full hiring picture for Coupang.

About this role

The Principal Data Analyst role at Coupang involves leveraging analytics and data science to optimize inventory management and pricing strategies. This position requires designing and deploying models that enhance profitability and customer experience while collaborating with various teams to implement data-driven solutions. The role emphasizes building scalable algorithms and translating complex data insights into actionable business recommendations.

Our read on this posting3.0out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Coupang as an employer.

What you need

  • 8-10 years of experience in a 'Category Analytics,' 'Decision Science,' 'Business Analytics,' or 'Data Science' role, preferably within an e-commerce, retail, or tech startup environment.
  • Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, Mathematics) or equivalent practical experience.
  • Expert proficiency in SQL and Python for data manipulation, modeling, and analysis.
  • Proven experience applying statistical, machine learning, or optimization models to solve real-world business problems (e.g., pricing, forecasting, inventory optimization, or commercial analytics).
  • Strong business acumen and a commercial mindset; passionate about understanding how a business runs and using data to drive tangible results.
  • Excellent communication skills, with the ability to explain complex models and analyses to non-technical audiences.

Nice to have

  • Engineering, Master’s or PhD in a quantitative field.
  • Experience with data pipeline tools (e.g., Airflow) and large-scale data environments (e.g., Redshift, Hive, Spark).
  • Experience with data visualization tools (Tableau, Power BI) for communicating insights.
  • Deep understanding of supply chain, inventory management, or retail finance concepts.

Worth weighing

  • The role is remote but part of a core team based in Seoul, which may require flexibility in communication and collaboration across time zones.
  • No specific salary or benefits information is provided in the posting.
  • The position may involve a probation period of 12 weeks, which could be extended based on business needs.

Summarised from Coupang's posting. Read the full original.

Listed by Coupang on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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Apply to a Principal Data Analyst (Category Analytics) position at Coupang - Jobs near me at Seoul, South Korea; Shanghai, China