Senior Data Analyst (Logistics)

The role

Data Analysts on the TW Logistics Analytics team understand and improve the customer delivery journey through data-driven insights. They build data infrastructure, conduct deep-dive analyses, and partner with Engineering, Product, and Operations teams.

What you will do

• Define and monitor key KPIs related to the delivery network, delivery status, and courier operations.
• Identify 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.
• Evaluate the impact of new initiatives through pre- and post-launch data analysis.
• Design simulation frameworks to help decision-makers.
• Design, build, and maintain data pipelines and data mart tables.
• Ensure data integrity and reliability through validation, backfilling, and governance processes.
• Develop and manage business reports and dashboards for leadership teams and stakeholders.
• Communicate analytical findings to diverse audiences.
• Partner with Product Managers, Program Managers, Engineers, and Operations teams.

Required 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 to present analytical findings and recommendations to stakeholders.
• Business proficiency in Mandarin Chinese.
• Intermediate English proficiency, including reading, writing, and verbal communication.

Nice to have

• 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.
• Experience leveraging AI/ML tools to improve analytics workflows.
• Business proficiency in both English and Korean.

Before you apply

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary and may be changed.
• Coupang has the right to rescind an offer if a candidate is found to have submitted false information.

About the company

Coupang is reimagining the shopping experience with the goal of wowing each customer. Their services in Taiwan include Rocket Delivery and Rocket Oversea.