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 analyses 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:
As a Logistics Analytics Specialist, you will sit at the intersection of heavy data engineering, day-to-day e-commerce logistics operations, and data automation (including use of AI LLM and agentic models). You won't just build dashboards or run reports; you will own the end-to-end data pipelines that optimize our supply chain, from when the buyer searches for a product listed on the Shopee platform, to the moment the buyer receives the products.
Job Description:
Logistics Insights & Performance Analytics
- Deep-dive into logistics data to track and optimize critical KPIs.
- Run ad-hoc analyses on delivery performance, bottle necks, and sudden spikes.
- Provide insights and recommendations to management based on data analysis.
Date Pipelines & Reporting
- Design, optimize, and maintain automated ETL (Extract, Transform, Load) data pipelines specifically for high-volume supply chain data
- Build, update, and manage BI dashboards to give operations managers real-time visibility on metrics and KPIs.
AI Integration & Automations Tasks
- Main PIC for Logistics team to test, refine, and roll out internal LLM models, and automation agents.
- Actively utilize generative AI tools and basic automation to speed up data cleaning, querying, and report generation as well as implementation of process automation for teams’ manual processes.
- Provide feedback to BI team to ensure the AI agents they build accurately understand e-commerce logistics nuances.
Requirements:
- Bachelor’s degree in a quantitative field (e.g., Economics, Business, Statistics, Mathematics, Computer Science, Engineering) or equivalent practical experience.
- At least 2 years in analytics / BI / Business Analysis / Ops Analytics.
- Advanced Excel / Google Sheets skills.
- Strong SQL and data wrangling skills; ability to work independently with large datasets.
- Hands-on experience interacting with LLM APIs and basic knowledge of framework paradigms for internal agent architectures.
- A proactive, problem-solving mindset that thrives on ambiguity and rapid e-commerce campaign cycles.
- Solid analytical fundamentals: descriptive analysis, driver/root-cause analysis, cohort/funnel style thinking as applicable.
- Practical BI/reporting skills (e.g., dashboards, scorecards, automated reporting) and comfort maintaining existing assets.
- Exceptional communication skills—ability to translate dense technical metrics into simple, operational strategies.