Amazon.com Services LLC
E-Commerce
Manager,BusinessIntelligence,FBAAnalytics
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optimal for Manager candidates.
“Manager, Business Intelligence, FBA Analytics at Amazon.com Services LLC. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain BI dashboards and reports. Design and implement data pipelines”
Industry & Context.
What They're Looking For.
Must Have
5+ years of experience in data analytics or business intelligence, Proficiency in SQL, Bachelor's degree in a quantitative field
Nice to Have
Master's degree or PhD preferred, Experience with AWS services, Experience with ML frameworks
What You'll Do.
Develop and maintain BI dashboards and reports
Design and implement data pipelines
Perform complex data analysis
Build and deploy machine learning models
Collaborate with stakeholders to understand data needs
Ensure data quality and integrity
Optimize data infrastructure for performance
Stay current with industry trends
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders
Full Job Description
FBA Inventory Optimization Services (FIOS) is seeking a results-oriented Business Intelligence Manager to lead the development of AI-powered analytics infrastructure and GenAI-enabled data products across FBA's Growth Optimization portfolio. This role is central to FBA's generational transformation — pivoting from traditional reporting and reactive diagnostics to building intelligent, AI-native data systems that deliver predictive insights in minutes rather than days. As our AI development accelerates, Business Intelligence is becoming core infrastructure — not a supporting function. We are shifting from bespoke, one-off data solutions to building reusable data pipelines, shared analytics capabilities, and measurement frameworks that power every agent team we spin up. We are looking for a Manager, Business Intelligence Engineering to lead and grow our BI and analytics team supporting FBA's rapidly expanding AI product roadmap across Inventory Optimization Services — specifically Capacity Planning and Inventory Visibility domains. This is a high-impact, high-visibility player-coach role: you will personally contribute to our most technically demanding analytics engineering work while providing the technical oversight, prioritization, and career development that enables a team of high-performing BIEs and Business Analysts to scale. You will own the full scope of our data needs — building and maintaining the data models and pipelines that power our AI agents, creating the measurement frameworks that define how we track inventory lifecycle and business impact, and ensuring BAU reporting commitments are met without crowding out strategic infrastructure work. The ideal candidate is a technically exceptional BI leader who thinks big about what AI-powered data infrastructure can enable — not just for today's needs, but for the generative AI experiences the organization is building toward — while maintaining a relentless bias for action. You thrive in dynamic, ambiguous envi
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