Coupang · Taipei, Taiwan · по договорённости
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?”
Position : Senior Data Analyst - Logistics Middle Mile
Coupang Taiwan is looking for a Senior Data Analyst to join the Middle Mile Analytics & Process Innovation team.
This role will support highly visible operational focus areas including:
Linehaul & Transportation Performance
Sortation & Hub Operations
First Mile / Fulfillment Center to Hub Flow
Capacity Planning & Network Optimization
Cost Productivity Initiatives
Service Quality & Delivery Performance
You will partner closely with Operations, Transportation, Finance, Product, and Engineering stakeholders to generate actionable insights, develop analytical solutions, and influence strategic decisions across the Taiwan logistics network.
The ideal candidate combines strong technical analytics skills with the ability to translate operational challenges into scalable, data-driven solutions.
What you will do?
Business Analytics & Insights
Partner closely with Middle Mile, Hub, Transportation, and Operations leaders to provide actionable insights, analysis, and reporting.
Conduct deep-dive investigations into network performance, service quality, productivity, and transportation costs.
Identify operational bottlenecks and root causes using data-driven methodologies.
Support strategic and tactical decision-making through ad hoc analyses and recurring business reviews.
Build forecasting models for volume planning, labor planning, transportation demand, and network capacity.
Process Improvement & Optimization
Analyze operational workflows and recommend process improvements to increase productivity and reduce costs.
Support Lean, Six Sigma, and continuous improvement initiatives through robust data analysis.
Quantify business impact of process changes and operational initiatives.
Design KPI frameworks that enable leadership visibility into operational performance.
Reporting & Dashboard Development
Develop and maintain executive dashboards, scorecards, and self-service reporting solutions.
Automate manual reporting processes and improve data accessibility for business partners.
Ensure consistency and accuracy of operational metrics across teams.
Experimentation & Modeling
Design and evaluate operational experiments and pilots.
Develop predictive models related to transportation performance, parcel flow, SLA attainment, and capacity utilization.
Support machine learning initiatives that improve network optimization and operational efficiency.
Stakeholder Management
Communicate analytical findings clearly to senior leadership and cross-functional stakeholders.
Translate complex analytical insights into practical operational recommendations.
Maintain high standards for data accuracy, documentation, and analytical rigor.
AI & Automation
Leverage AI and advanced analytics tools to improve productivity, automate workflows, and accelerate decision making.
Develop scalable solutions that enhance operational visibility and business performance.
Essential Qualifications:
Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Operations Research, Economics, or a related quantitative field.
4+ years of experience in Data Analytics, Business Intelligence, Operations Analytics, Supply Chain Analytics, or rel
Отклик ведёт на сайт работодателя. Бесплатная регистрация открывает отклик и разбор резюме.
10500+ вакансий от 1600+ компаний — в основном напрямую с карьерных сайтов и из Telegram-каналов. У 900+ из них есть контакт нанимающего: пишешь человеку, а не в общую очередь. Регистрация бесплатная — откроет контакты и подбор вакансий под твоё резюме.