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:
Data Analysts on the TW Logistics Analytics team are responsible for understanding and improving the entire customer delivery journey—from order placement to final delivery (last-mile logistics)—through data-driven insights.
Specifically, they:
- Build and maintain data infrastructure, including pipelines, data mart tables, and dashboards, to ensure stakeholders have access to accurate and timely data when they need it.
- Ensure data accuracy, consistency, and reliability through validation, backfilling, and governance processes.
- Conduct deep-dive analyses to identify root causes behind operational issues and uncover actionable opportunities for improvement, going beyond surface-level metrics.
- Partner closely with Engineering, Product, and Operations teams to develop innovative analytical approaches that enable insights and capabilities that were previously not possible.
What You Will Do:
End-to-End Delivery Operations Analytics
- Define and monitor key KPIs related to the delivery network, delivery status, and courier operations, and identify the root causes of operational issues through data-driven analysis.
- Track and analyze operational metrics such as delivery success rate, delivery lead time, and courier productivity, uncover improvement opportunities, and support data-driven decision-making within the Operations organization.
New Project Simulation & Pre-/Post-Launch Analysis
- Evaluate the impact of new initiatives, such as route optimization and network redesign, through rigorous pre- and post-launch data analysis.
- Design simulation frameworks and provide accurate, actionable insights to help decision-makers make informed business decisions.
Data Infrastructure & Governance
- Design, build, and maintain the data pipelines (Airflow DAGs) and data mart tables (Hive/Presto) that serve as the foundation for delivery-domain analytics.
- Ensure data integrity and reliability through validation, backfilling, and governance processes, while maintaining a trusted data ecosystem.
KPI Reporting & Stakeholder Communication
- Develop and manage business reports and dashboards for leadership teams and key stakeholders.
- Communicate analytical findings clearly and concisely to diverse audiences, fostering a data-driven decision-making culture across the organization.
Cross-Functional Collaboration
- Partner closely with Product Managers, Program Managers, Engineers, and Operations teams to translate business questions into analytical frameworks and deliver timely, actionable insights.
Essential Qualifications
- 3+ years of experience analyzing large-scale datasets using SQL (Presto/Hive).
- Experience developing data ETL processes and orchestrating data pipelines (e.g., Airflow).
- Experience building dashboards and business reports using tools such as Tableau, Power BI, or Zeppelin.
- Strong ability to identify, troubleshoot, and resolve data quality and validation issues.
- Proven ability to work effectively in cross-functional environments with Engineering, Product, and Operations teams.
- Excellent communication skills with the ability to clearly present analytical findings and recommendations to stakeholders.
- Business proficiency in Mandarin Chinese.
- Intermediate English proficiency, including reading, writing, and verbal communication.
Preferred Qualifications:
- Knowledge of logistics and delivery operations, including last-mile delivery, delivery network design, and Warehouse Management Systems (WMS).
- Understanding of statistical methodologies, including A/B testing and causal inference.
- Proficiency in Python for data analysis, automation, and workflow optimization.
- Experience working with diverse data systems in global and multi-market environments.
- Proven track record of leading end-to-end analytics projects, from problem definition and analysis design to insight generation and decision support.
- Experience leveraging AI/ML tools (e.g., LLM-based coding assistants, Generative AI) to improve analytics workflows, such as automated query generation, accelerated pipeline development, and automated insight summarization.
- Business proficiency in both English and Korean.
Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) 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.
- Coupang does not discriminate against disabled applicants or those with veteran status.
- We are proud to offer equal opportunities for all applicants.
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