About this role

Amazon is hiring a senior-level Analytics Engineer in the data engineering function based in Shanghai, China. The posting calls out experience with Python, AWS, SQL, ETL and roughly 10+ years of relevant work.

Role: Analytics Engineer
Function: data engineering
Level: senior
Track: Individual contributor
Employment: Full-time
Location: Shanghai, China
Experience: 10+ years
Department: Business Intelligence
Posted: May 21, 2026

AI Summary

Senior Business Intelligence Engineer building data pipelines and driving strategic insights for Amazon Global Logistics' 30+ product portfolio across APAC sellers. Requires 10+ years experience, 5+ years SQL, AWS expertise, and proficiency in Python scripting, statistical analysis, and machine learning to identify growth opportunities and automate GTM workflows.

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Job description

from Amazon careers

Amazon has spent years building one of the world’s most efficient and optimized supply chains. Amazon Global Logistics (AGL) builds on that foundation with innovative distribution and end-to-end supply chain service for FBA sellers.

As a Senior Business Intelligence Engineer at Amazon Global Logistics (AGL), you will be the strategic insights provider driving the business adoption for a 30+ AGL shipping/storage product and solution portfolio for APAC sellers across multiple origins to marketplaces.
You are responsible for building data pipelines, identifying the growth opportunity and alerting risks with inputs from sales/product and GTM teams, data mining into actionable business GTM planning and campaigns, market competitiveness analysis and product feature rampup request validations proofs.
Your mission is to scale AGL’s market adoption target through data-driven hypotheses, rigorous ROI governance, and the automation of growth workflows.

Basic Qualifications

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

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