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Business Intelligence Engineer, Business Intelligence and Analytics, Paid Services Central Team

Amazon - Shanghai, CHN

Posted Apr 28, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Business Intelligence Engineer, Business Intelligence and Analytics, Paid Services Central Team Shanghai, CHN 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. The Business Intelligence & Analytics team is under Paid Services Central PMO team, we 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. Business Intelligence Engineer belongs to Paid Service Central Business Intelligence & Analytics team. We expect this role to transform our 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. Key job responsibilities - Design, develop, and maintain scalable data infrastructure and ETL pipelines to support business intelligence initiatives using automated dashboard solutions - Partner

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