Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, alexa and amazon devices
SeniorBusinessIntelligenceEngineer,DevicesDemandScienceOptimization
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“Senior Business Intelligence Engineer, Devices Demand Science Optimization at Amazon.com Services LLC. Skills: Business intelligence, Data engineering, AI, Data pipelines. Design core data tables. Build core data tables”
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
10+ years professional experience, 7+ years SQL, 7+ years ETL, 7+ years Oracle experience, 7+ years processing large datasets, 5+ years automated reporting, Experience with AWS, Experience scripting for automation, Experience with advanced SQL, Experience with data visualization, Knowledge of data warehousing, Knowledge of data modeling, Experience working with business stakeholders
Nice to Have
Experience managing senior leadership, Experience analyzing senior leadership, Experience communicating results to senior leadership, Experience programming to extract data, Experience programming to transform data, Experience programming to clean data, Experience with information retrieval, Experience with data science, Experience with machine learning, Experience with data mining
What You'll Do.
Design core data tables
Build core data tables
Maintain core data tables
Design data pipelines
Maintain data pipelines
Automate reporting workflows
Automate data processes
Build QuickSuite dashboards
Enhance QuickSuite dashboards
Develop contextual data layers
Build AI powered features
Integrate AI powered features
Implement data governance frameworks
Implement quality control mechanisms
Design pipeline orchestration
Manage pipeline orchestration
Partner with stakeholders
Translate business requirements
How You'll Work.
Team & Collaboration
Cross functional teams; BI teams; Product line leaders; Finance teams; Supply chain teams; Demand planning teams; Forecasting teams; Inventory teams; Science teams; Engineering teams
Full Job Description
We're looking for a Senior Business Intelligence Engineer (BIE) to build AI-powered data products for Amazon Devices. You'll design and maintain MCP servers and semantic layers that make our core tables accessible to AI agents, automate daily business workflows (WBR narratives, flashes, executive summaries) using GenAI, and architect scalable data pipelines on AWS. This role sits at the intersection of analytics, data engineering, AI, and product development — you'll define how machines understand our business data and scale that intelligence across multiple BI teams. Key job responsibilities - Design, build, and maintain scalable core data tables and pipelines that serve as the single source of truth for Devices sales, inventory, pricing and demand planning metrics. - Automate reporting workflows and data processes to reduce manual effort and improve speed, accuracy, and reliability of insights delivered to stakeholders. - Build and enhance QuickSuite dashboards that provide self service analytics for product line leaders, finance, and supply chain teams. - Develop contextual data layers that connect disparate data sources into unified, business ready datasets, enabling deeper analysis and cross functional visibility. - Build and integrate AI powered features into BI solutions, including intelligent agents, automated callouts, and generative AI driven summaries that surface key insights proactively. - Implement data governance frameworks and quality control mechanisms, including automated validation, monitoring, and alerting to ensure data accuracy and reliability across all assets. - Design and manage pipeline orchestration to coordinate data ingestion, transformation, and delivery across multiple systems and schedules. - Partner with stakeholders across demand planning, forecasting, and inventory teams to translate business requirements into well scoped, long term, AI-driven data solutions. About the team We build the data infrastructure and analytics that powers
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