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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 a product analyst, you will be responsible for providing reports and insights that aid in management to ensure top-notch customer experience. By collecting the tens of billions of data points that are created as millions of customers use Coupang’s services, Product Analytics creates meaningful insights, seeks answers to complex business questions, and enables a better understanding of customer behavior.
What You Will Do
Create and provide new customer experience metrics and insights to ensure the best shopping experience for our customers.
Collaborate with product managers, designers, program managers, engineers, and other stakeholders to make data-driven decisions.
Create and manage weekly/monthly/quarterly business reports and work together with other teams to capture quality insights and present them to our stakeholders and leadership.
Expert thought leadership as an ecommerce and fulfillment service analyst.
Basic Qualifications
Experiencing working in Fraud domain is a plus
Expert SQL knowledge, with 7+ years’ work experience in data analytics
Experience in providing clear and actionable plans by analyzing data and insights
Ability to take work into your own hands with a sense of responsibility and exercise judgment to act in fast-paced and dynamic environment
Great ability to think critically and solve nonstructural problems
Strong communication skills to share analysis results clearly and concisely
Experience with big data tools like Hadoop, Spark, and Presto
Experience with BI tools like Power BI or Tableau
Bachelor’s degree in statistics or computer engineering or equivalent experience
Preferred Qualifications
Experience with Python and R/SAS, or other statistical packages
Experience in working with version control (Git, SVN, etc.)
Well diverse in or comfortable with learning new modern data tools
Master’s degree in statistics or engineering or equivalent experience
Experience analyzing e-commerce and customer behavior logs
Strong English skill (both verbal and written) is a plus
Recruitment Process and Others
Recruitment Process
Details to Consider
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