SPX Business Intelligence Analyst, SG Business Intelligence

About The Team

The Shopee SPX (Shopee Express) Business Intelligence team is a highly technical and operations-driven function supporting end-to-end logistics and fulfilment performance across first-mile, middle-mile, and last-mile operations. We partner closely with Operations, Planning, Regional, and Product teams to deliver scalable, data-driven solutions that optimise network efficiency, service levels, and cost across the entire logistics value chain.

Our team specialises in transforming complex logistics data into actionable insights, enabling faster issue resolution, network optimisation, and cost control. By leveraging SQL, Python, and automation tools, we build a robust data infrastructure that supports real-time operational monitoring and long-term capacity and network planning.

Job Description

• Partner with Logistics Operations, Planning, and Regional teams to provide actionable insights on key logistics metrics, including service level (SLA), lead time, throughput, cost efficiency, and network performance
• Monitor and deep dive into end-to-end logistics KPIs (first-mile to last-mile) to identify performance gaps, bottlenecks, and root causes
• Analyse network flow (inbound, linehaul, sorting, last-mile delivery) to drive optimisation in routing, capacity allocation, and resource utilisation
• Translate complex operational requirements into scalable data models, pipelines, and automated workflows
• Automate manual reporting processes using SQL, Python, VBA, or other tools to improve efficiency and reliability
• Develop and maintain dashboards and monitoring systems to ensure visibility, data accuracy, and timely decision-making
• Optimise end-to-end data pipelines from source systems (WMS, TMS, order systems) to reporting layers
• Support strategic initiatives such as network design, capacity planning, cost optimisation, and logistics performance improvement projects
• Perform ad-hoc deep dives to support urgent operational issues and drive data-backed decisions
  
  

Requirements

• Bachelor’s degree or above in Data Analytics, Statistics, Mathematics, Computer Science, Supply Chain, or other quantitative disciplines
• Strong hands-on experience in SQL; proficiency in Python/Excel / Google Sheets is required Experience in logistics, supply chain, warehouse, or e-commerce fulfillment analytics is highly preferred
• Strong analytical thinking with the ability to structure ambiguous logistics problems into clear analytical frameworks
• Solid understanding of logistics concepts (e.g., SLA, lead time, routing, capacity, cost drivers) is a plus
• Detail-oriented with high standards for data accuracy and reporting quality
• Strong communication skills, with the ability to translate technical outputs into business impact for operational stakeholders
• High ownership, proactive mindset, and ability to thrive in a dynamic environment