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Principal Business Analyst

Coupang - Taipei, Taiwan

Posted May 18, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Surrogacy assistance: Not verified
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Market context

Median wage (BLS OEWS)
$61,842 national median
Projected growth (BLS Employment Projections)
+1.9% - Slower

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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Deadline
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Where they hire

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About this role

Principal Business Analyst Taipei, Taiwan Description Company Introduction Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. We are looking for talents to help us lead Coupang's expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang's growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” Role Overview A Principal Business Analyst/Senior Manager, Business Analysis leads multiple, impactful projects that have impact on multiple teams and provide significant business value. This person uses his deep domain expertise across multiple functions to not only accomplish business goals, but to come up with novel ways to analyze and visualize data. Additionally, this person will contribute to analytics projects designed to help drive Coupang's growth, support specific initiatives from all areas of Coupang, and help analysts across the team and organization with their development. What You Will Do - Strategic Insights: Lead the end-to-end analytics for the Retail growth. Identify root causes for high return rates (e.g., sizing issues, logistical damage, or fraud) and propose data-backed solutions. - Predictive Modeling: Develop and oversee models to retail category growth propensity and

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