Strategy & Analytics Associate, Regional Logistics

SHOPEE SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Shopee Singapore Private Limited seeks an operations analytics specialist to shape regional network decisions using real operational data, modeling capacity, cost-to-serve, speed, and automation ROI. The role emphasizes AI-driven forecasting and cross-market collaboration across SEA logistics.

You'll apply AI tools like LLMs and agents to automate repetitive analysis, deliver actionable insights, and work closely with warehouses, hubs, and sortation centres to implement high-impact initiatives.

Qualifications

• Bachelor's degree in Business, Engineering, or quantitative field.
• Minimum 1 year of relevant experience in operations, manufacturing, or supply chain.
• Hands-on exposure to AI, ML, or LLMS/agent tooling with practical output.
• Collaborative mindset and ability to work well in a team.
• Excellent verbal and written communication skills.

Responsibilities

• Build the analysis behind network decisions — capacity, cost-to-serve, speed, and where automation pays off using real operational data.
• Build forecasting and optimization models, and use AI tools — including LLMs and agents — to automate the slow parts of analysis.
• Track the wider SEA logistics and e-commerce competitive landscape, and translate what's happening externally into "so what" for our strategy.
• Turn analysis into initiatives you own end-to-end: scope it, align stakeholders across markets, drive it, and measure whether it moved the metric.
• Engage with ground operations regularly — warehouses, hubs, sortation centres — so your recommendations are built on how operations really work.

Skills

Data analysis

Forecasting

Optimization

AI tooling

Stakeholder management

Communication

Education

Bachelor's degree in Business/Engineering/Quantitative field

Master's degree advantageous

Tools

AI tooling (LLMs & agents)

Job description

The Operation teams at Shopee covers the operational end-to-end process, from when the buyer searches for a product listed on the Shopee platform, to the moment the buyer receives the products. The team analyzes and monitors operational KPIs across the region and conducts root cause analysis when operation performance fluctuates. The Operations team comprises Customer Service, Payment, Listings, Warehouse, Logistics, Seller Operations and Fraud.

About the Team:

Shopee runs one of the largest logistics networks in Southeast Asia and moves millions of parcels a day across our fulfilment warehouses, sortation centres, linehaul trucks, and last-mile operations.

This role sits on the regional team that is instrumental in deciding how that network evolves: where to add capacity, what to automate, and how to deliver our parcels faster and cheaper. You will model operational decisions, and can go on-ground to pressure test and validate those decisions against real-world operations.

Job Description:

• Build the analysis behind network decisions — capacity, cost-to-serve, speed, and where automation pays off using real operational data
• Build forecasting and optimisation models, and use AI tools — including LLMs and agents — to automate the slow parts of analysis and competitive monitoring, so your time goes to judgment, not data pulls
• Track the wider SEA logistics and e-commerce competitive landscape, and translate what's happening externally into "so what" for our strategy
• Turn analysis into initiatives you own end-to-end: scope it, align stakeholders across markets, drive it, and measure whether it moved the metric
• Engage with ground operations regularly — warehouses, hubs, sortation centres — so your recommendations are built on how operations really work

Requirements:

• Bachelor's degree, preferably in Business, Engineering (Industrial, Mechanical, Computer Science, Operations Research), or a quantitative degree. A master’s degree is advantageous but not required.
• Minimum 1 year of relevant experience (including internship) in operations, manufacturing, or supply chain
• Hands-on exposure to AI – ideally built something with ML, or with LLM/agent tooling — a model, a pipeline, an automation that did actual work
• Collaborative mindset with the ability to work well in a team-oriented environment
• Excellent verbal and written communication skills. Ability to convey complex ideas in a clear and concise manner