Le poste
Tiré de l’annonce de l’employeur · Coupang · publiée le 1 octobre 2026
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
As our Staff Data Analyst for TW Pricing team, you will be responsible for ensuring the quality of regular reports and metric as well as helping with system wide decision-making algorithms. Coupang embraces a data driven culture enabled by high velocity test and learn across all customer facing domains. You will have opportunities to work closely with many different areas including, Pricing, Retail Commerce, 3P Commerce, and Promotions. You will join a team of data analysts dedicated to building reports and system support algorithms, serving all of these areas and the associated users including product owners, engineers and business analysts.
What You Will Do
- Develop business operations related decision-making systems to improve the efficiency of business operations
- Analyze domain data to provide insights and help develop key metrics
- Explain reports, algorithm details, and results to both technical and non-technical stakeholders
- Prioritize the metric development requests and lead the junior DAs to support key business initiatives in the company
- Keep the developed reports and systems up-to-date, including learning and deploying new technologies, both in methodology and in technical / software
- Train and mentor junior team members
Basic Qualifications
- MS in math, statistics, other technical or business fields (BS with longer experience)
- 6+ years’ experience in data science, business analytics and other quantitative fields with MS, 9+ years’ experience with BS
- Excellent skills in SQL
- Proficient in English
- Strong presentation and communication skills</
















