Amazon.com Services LLC

Business Intelligence, Business Intel Engineer, alexa and amazon devices

SeniorBusinessIntelligenceEngineer,DevicesDemandScienceOptimization

$130–176k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Business Intelligence, Business Intel Engineer, alexa and amazon devices
Problems you'll solve

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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