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
