Logistics Analytics Specialist

Shopee; Metro Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Shopee in the Philippines is seeking a Logistics Analytics Specialist who will own end-to-end data pipelines, from buyer search to delivery, blending data engineering with operations analytics.

You will build dashboards, optimize KPIs, and lead AI integration with LLMs and automation to speed up reporting and decision-making for the logistics team. The role demands strong SQL, Excel, and BI skills and the ability to manage large datasets in a fast-paced ecommerce environment.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent practical experience.
• At least 2 years in analytics / BI / Ops Analytics.
• Advanced Excel / Google Sheets skills.
• Strong SQL and data wrangling 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 thinking.
• Practical BI/reporting skills (dashboards, scorecards, automated reporting) and ability to maintain assets.
• Exceptional communication skills—ability to translate dense technical metrics into simple, operational strategies.

Responsibilities

• Deep-dive into logistics data to track and optimize critical KPIs.
• Run ad-hoc analyses on delivery performance, bottlenecks, and spikes.
• Provide insights and recommendations to management based on data analysis.
• Design, optimize, and maintain automated ETL data pipelines for high-volume supply chain data.
• Build, update, and manage BI dashboards to give operations managers real-time visibility on metrics and KPIs.
• Main PIC for Logistics team to test, refine, and roll out internal LLM models, and automation agents.
• Utilize generative AI tools and basic automation to speed up data cleaning, querying, and report generation.
• Provide feedback to BI team to ensure AI agents accurately understand e-commerce logistics nuances.

Job description

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.