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Coupang Internal

Principal Data Analyst L6-2 (Category Analytics)

Coupang Internal · Seoul, South Korea; Shanghai, China

Posted 9 days ago

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

Is this posting real?

This role has been open
9 days
Coupang Internal's roles stay open a median of 42 days
Reposted
No
Salary listed
No
0% of Coupang Internal's roles list one
Ghost-job risk at Coupang Internal
low
0 stale, 8 reposted of 468 open
Hiring momentum
741 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 Internal's own greenhouse board since 2026-08-03. Full hiring picture for Coupang Internal.

About this role

The Principal Data Analyst role at Coupang involves designing, building, and deploying advanced analytical models to optimize inventory management and pricing strategies. The position requires collaboration with various teams to enhance product visibility and sales, while also developing algorithms to maximize profitability and minimize financial losses. This role is strategic in nature, focusing on leveraging data science to solve complex business problems within the Retail Inventory organization.

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 Internal 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; you are 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 coordination across time zones.
  • No specific salary or benefits are mentioned in the posting, which could be a consideration for candidates.
  • The job description emphasizes a proactive and self-starting mentality, indicating a fast-paced work environment that may not suit everyone.

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

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

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