senior data engineering Analytics Engineer ic 5+ yrs Master's · Posted Apr 28, 2026

Skills

Python R AWS Serverless SQL Redshift Tableau Data Modeling ETL Data Visualization IAM Data Analytics

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, R, AWS, Serverless and roughly 5+ years of relevant work. Listed education preference: a master's degree or equivalent.

Role: Analytics Engineer
Function: data engineering
Level: senior
Track: Individual contributor
Employment: Full-time
Location: Shanghai, China
Experience: 5+ years
Education: Master's degree
Department: Business Intelligence
Posted: Apr 28, 2026

AI Summary

Senior-level Analytics Engineer leading data infrastructure and analytics transformation for Amazon's CN Paid Services. Designs ETL pipelines, data models, and dashboards using AWS technologies to enable AI-driven decision-making and automate insights for program innovation and account manager tools.

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Job description

from Amazon careers

CN Paid Services supports CN Selling Partners (SPs) with account management and enhances SPX via a suite of unified offerings across US/EU/JP marketplaces. Our vision is to be the preferred choice for CN Sellers during their Amazon journey to expand their businesses globally.

Business Intelligence and Analytics of Paid Services Central PMO team drive strategic CN SAS program success through data-powered operational planning, cross-orgs reviews, and resource optimization. Our mission is to deliver actionable data insights and innovative program solutions by leveraging advanced analytics and AI capabilities. We serve as strategic partners to Program Managers, diving deep into program opportunities and driving 0-to-1 innovations through data-driven insights. Additionally, we own the design and deployment of sophisticated data dashboards that empower Account Managers to provide data-informed consultancy to Sellers, helping them identify business opportunities, develop strategies, and mitigate risks in their growth journey. We are also anxiety to share CN SAS best practice to WWGS scaling successful solutions.

Key job responsibilities

We expect this Sr. BIE role lead the transformations on SAS applicable data infrastructure and analytics capabilities to enable AI-driven decision making, build the standardized data foundation, design data solution to deliver automated insights for program innovations and AM data tools.

Basic Qualifications

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field, or 5+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)

Preferred Qualifications

- Experience managing, analyzing and communicating results to senior leadership
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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