Senior Data Analyst - Logistics Middle Mile

Responsibilities

• Linehaul & Transportation Performance
• First Mile / Fulfillment Center to Hub Flow

Capacity Planning & Network Optimization

• 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.

Requirements

• 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.

Preferred

• 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.
• Success Metrics (First 12 Months)

What you will do?

Business Analytics & Insights

Essential Qualifications

Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Operations Research, Economics, or a related quantitative field.

Preferred Qualifications

• Deliver measurable Middle Mile cost reduction opportunities.
• Improve visibility and adoption of operational KPIs across the network.
• Develop scalable dashboards for Transportation, Hub, and Network leadership.
• Identify and quantify productivity improvements across Middle Mile operations.
• Enable data-driven decisions for network expansion, capacity planning, and process optimization.
• Support sustained improvements in SLA, Quality, Productivity, and Cost metrics.

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.

Things 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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