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 Overseas” 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
Coupang Taiwan is looking for a Sr. Data Analyst to join our Growth Marketing Analytics & Data Science team. This role will support highly visible focus areas which include on-site merchandising, category, and marketing operations. You will partner closely with marketing stakeholders to drive actionable insight, analysis, and reporting. Come join a fast-growing team passionate about driving impact to consistently WOW our customers.
What You Will Do
- Partner closely with marketing stakeholders to provide actionable insight, analysis, modeling, experimentation and reporting. Deep dive through weblogs and marketing data to identify key drivers of performance
- Regularly work on requests that support decision-making processes. Prioritize work effectively through a strong understanding of business objectives.
- Work effectively in a fast-paced environment, by delivering results on-time and multi-tasking
- Build and/or support the integration of machine learning model initiatives
- Maintain a high bar for quality and accuracy. Provide clear documentation of work and code.
- Leverage AI to develop solutions that improve productivity, code writing, and quality
- Communicate effectively and proactively with internal stakeholders.
Basic Qualifications
- Bachelor’s degree or equivalent experience in STEM or quantitative field
- 4+ years of experience in data analytics with proficiency in SQL、Python and data visualization tools (e.g., Tableau)
- Foundational knowledge of statistical concepts and testing methodologies
- Exceptional critical thinking and problem-solving skills with a strong attention to detail and ability to validate data
- Strong verbal and written communication skills in both Mandarin and English to share analysis results clearly and concisely
Preferred Qualifications
- Master’s degree in Analytics, Data Science, or a related field
- Experience in Retail/E-commerce industries, Digital Marketing, Growth or CRM functions
- Expert in experimentation, statistics, and casual inference techniques
- Experience in AI and building machine learning models
- Experience in data ETL (Extract, Transform, Load), data engineering principles and tools (Airflow, DBT)
- Proficiency with Python or other scripting languages for advanced data manipulation
- Experience working in a global or multinational team environment
Recruitment Process and Others
Recruitment Process
- Application Review - Job Fit Interview - Focus Interview – Offer
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/