Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, north america stores
BusinessIntelligenceEngineerII,CentralDataEngineeringandAnalytics
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intelligence Engineer II, Central Data Engineering and Analytics at Amazon.com Services LLC. Skills: AI Data Foundations, Analytics Solutions, Conversational Analytics, Data Engineering, Business Intelligence. Design knowledge bases. Design semantic layers”
What You'll Achieve.
Drive business growth; Reduce insight generation time
Industry & Context.
Root cause analysis; Actionable insights
What They're Looking For.
Must Have
3+ years analyzing data with Redshift, Oracle, NoSQL, 3+ years SQL, ETL, or Oracle experience, 2+ years processing large datasets, 2+ years performing statistical analysis, 3+ years developing automated reporting, Experience with data visualization, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience in Statistical Analysis packages, Experience using SQL to pull data, Scripting experience (Python)
Nice to Have
Experience with AWS solutions, 5+ years processing large datasets, Experience with statistical methods, Experience with AI/ML concepts, Knowledge of RAG architectures, Knowledge of vector databases, Experience building knowledge bases, Experience building semantic search solutions
What You'll Do.
Design knowledge bases
Design semantic layers
Design data architectures
Develop analytics solutions
Build testing frameworks
Build data validation frameworks
Build AI insights accuracy frameworks
Enable natural language querying
Enable automated narrative generation
Collaborate with Vendor Managers
Collaborate with Instock teams
Collaborate with Marketing
Collaborate with leadership
Deliver actionable insights
Create scalable platforms
Democratize data access
How You'll Work.
Team & Collaboration
Cross-functional partnership; Partner with retail teams; Partner with Vendor Managers; Partner with Instock teams; Partner with Marketing; Partner with leadership
Full Job Description
The Central Data Engineering and Analytics team sits at the heart of North America Stores, powering data-driven decision-making across the entire retail organization. We are the foundational analytics engine supporting every aspect of the customer shopping experience, from the moment a customer searches for camping gear or automotive parts, to when they discover the perfect toy or upgrade their home electronics. As the central BI and analytics hub for North America Stores, we partner with retail teams across Electronics, Fashion and Fitness, Apparel, Consumables, Home & Lifestyle, and specialized programs including AVS (Amazon Vendor Services), Selection, Deals and Promotions, Direct Imports, and more. Our mission is to transform how thousands of retail employees, from Vendor Managers and Instock Managers to Marketing teams and senior leadership, access insights and make decisions. We're at an inflection point in business intelligence. We're evolving from traditional dashboards and reports to conversational analytics platforms powered by AI. Our team is building the next generation of data foundations that enable natural language querying, automated insights generation, and AI-driven optimization, reducing the time retail employees spend on insight generation. What Makes This Role Unique: This isn't traditional BI engineering. You'll be building AI data foundations, the knowledge bases, semantic layers, and conversational interfaces that power our AI agents. You'll work at the intersection of data engineering, analytics, and artificial intelligence, creating systems that understand business context and deliver insights through natural conversation. Specific Responsibilities Include: AI Data Foundations: Design knowledge bases, semantic layers, and data architectures for AI-powered analytics agents and conversational interfaces Analytics Solutions: Develop and maintain metrics, dashboards, and reports driving key business decisions across North America Stores retail
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