Senior Data Analyst - Logistics Middle Mile

The role

This role supports the Middle Mile Analytics & Process Innovation team in Taiwan. You will provide actionable insights, develop analytical solutions, and influence strategic decisions across the Taiwan logistics network.

What you will do

• Partner with Middle Mile, Hub, Transportation, and Operations leaders to provide insights 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.
• Analyze operational workflows and recommend process improvements.
• Support Lean, Six Sigma, and continuous improvement initiatives.
• Quantify business impact of process changes and operational initiatives.
• Design KPI frameworks for leadership visibility.
• Develop and maintain executive dashboards, scorecards, and self-service reporting solutions.

Required 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 related fields.
• Advanced SQL proficiency.
• Strong Python skills for analysis, data manipulation, automation, and modeling.
• Experience with data visualization platforms such as Tableau, Power BI, or similar tools.
• Strong understanding of statistical concepts and analytical methodologies.
• Demonstrated problem-solving ability with attention to detail and data validation.
• Ability to manage multiple priorities in a fast-paced operational environment.
• Strong communication skills in both English and Mandarin.

Nice to have

• Master's degree in Data Science, Analytics, Industrial Engineering, Supply Chain Management, Operations Research, or a related field.
• Experience supporting logistics, transportation, fulfillment, e-commerce, last-mile, middle-mile, warehouse, or supply chain operations.
• Experience with network optimization, routing analytics, forecasting, and capacity planning.
• Knowledge of experimentation frameworks, causal inference, and statistical modeling.
• Experience building machine learning solutions and predictive models.
• Familiarity with ETL pipelines and modern data stack tools such as Airflow, DBT, Spark, or similar technologies.
• Experience working with large-scale operational datasets.
• Knowledge of Lean, Six Sigma, or process improvement methodologies.

Before you apply

• Complete the attached Internal Transfer Request Form and submit.
• Apply with your Coupang e-mail address.
• Recruitment process includes Application Review, Job Fit Interview, Focus Interview, and Offer.

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 Overseas.