Get to Know the Team
The Deliveries Analytics team is the analytics and data powerhouse behind Grab's marketplace and on-demand grocery delivery ecosystem. The Supply Chain function focuses on powering one of the most complex parts of the business - instant grocery and retail delivery through 3P and 1P partners. It operates at intersection of inventory, demand forecasting, fulfillment operations, and last-mile logistics. Unlike traditional marketplaces, we manage highly dynamic catalogs, perishable inventory, and real-time fulfillment constraints across dark stores and merchant partners. Our mission is to ensure that what customers want is available, picked, and delivered—fast, reliably, and cost-effectively.
Get to Know the Role
Reporting to the Senior Analytics Manager, you will work with Product, Operations, and Business teams to optimize the inventory-led supply chain, from assortment and availability to fulfillment and delivery. Your work will directly shape how we scale our operations and deliver a seamless grocery experience to millions of users through AI and active experiments.
Your role involves in:
- Reducing stockouts and substitutions
- Improving catalog quality and assortment efficiency
- Optimizing dark store and merchant fulfillment performance
- Balancing freshness, waste, and availability for perishable goods
This role is base onsite in our Petaling Jaya office.
The Critical Tasks You Will Perform
- Analyze and optimize inventory availability and assortment performance, including in-stock rates, substitution rates, and catalog health across dark stores and merchant partners
- Solve main supply chain challenges such as stockouts, overstocking, perishability, and demand-supply mismatch
- Develop and monitor core supply chain metrics (eg: in-stock rate, fill rate, substitution rate, waste/shrinkage, order fulfillment time)
- Partner with Product and Operations teams to design experiments (including A/B testing) to improve availability, fulfillment quality, and customer experience
- Build data models and tools to support demand forecasting, inventory planning, and replenishment strategies
- Optimize picker and packing efficiency, batching logic, and fulfillment workflows within dark stores and merchant operations
- Define data requirements and instrumentation for new supply chain features, ensuring accurate and scalable data capture
- Champion AI-first analytics workflows, using automation and new tools to improve forecasting, anomaly detection, and operational decision-making.
- Build dashboards and data products that allow real-time visibility into supply chain performance for operations and business teams
