Business Intelligence Engineer II, Central Data Engineering and Analytics
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
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.
Were at an inflection point in business intelligence. Were 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 isnt traditional BI engineering. Youll be building AI data foundations the knowledge bases semantic layers and conversational interfaces that power our AI agents. Youll 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 programs
Testing & Quality: Build comprehensive frameworks for SQL integration testing data validation and AI-generated insights accuracy
Conversational Analytics: Enable natural language querying and automated narrative generation from complex retail datasets
Cross-Functional Partnership: Collaborate with Vendor Managers Instock teams Marketing and leadership across AVS Selection Deals and other programs
Insights & Action: Analyze metrics to uncover trends identify root causes and deliver actionable insights that drive business growth
Self-Service Enablement: Create scalable platforms that democratize data access and reduce dependency on BI support
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 3 years of SQL ETL or Oracle experience
- 2 years of processing large multi-dimensional datasets from multiple sources experience
- 2 years of performing statistical analysis experience
- 3 years of developing automated reporting experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- 5 years of processing large multi-dimensional datasets from multiple sources experience
- Experience with statistical methods like A/B Testing or regressions
- Experience with AI/ML concepts particularly LLMs and generative AI applications
- Knowledge of RAG (Retrieval Augmented Generation) architectures and vector databases
- Experience building knowledge bases or semantic search solutions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA SEATTLE - 99500.00 - 160000.00 USD annually
USA WA Seattle - 99500.00 - 160000.00 USD annually
Required Experience:
IC
Key Skills
About Company
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