Business Intelligence Engineer, Community Operations
Amazon.com
Role Summary
We are looking for an experienced, self-driven Business Intelligence Engineer who thrives in a fast-paced environment. In this role, you will work directly with data engineers, scientists, and software developers to build the analytical infrastructure that powers community intelligence at scale. You will own end-to-end development of BI solutions that translate complex AI/ML model outputs into actionable insights for stakeholders across Amazon.
You will work with novel data sources (survey data, media signals, NLP-derived sentiment, geospatial inputs), support AI-orchestrated workflows, and help build knowledge bases that enable self-service analytics. You should be comfortable navigating ambiguity, partnering with technical and non-technical stakeholders, and building scalable solutions that evolve alongside our roadmap.
Key job responsibilities
- Design, develop, and maintain scalable ETL processes that integrate diverse data sources including survey responses, media intake pipelines, NLP model outputs, and operational metrics
- Build and optimize data models and reporting data marts
- Ensure data quality, consistency, and reliability across pipelines
- Conduct analyses including trend detection, anomaly identification, and geographic segmentation for community-related business outcomes
- Support model performance monitoring and evaluation metrics for production NLP and forecasting systems
- Partner with scientists and engineers to build analytical infrastructure supporting AI-orchestrated workflows and LLM-based systems
- Contribute to knowledge base development that enables scaled pattern detection across data sources
- Interface with partner teams to understand data needs and deliver integrated reporting
About the team
Community Intelligence Science & Engineering (CISE) builds AI systems that help Amazon listen to and better serve the communities where we operate, scaling from hundreds of thousands to millions of community voices globally. Our work integrates community intelligence into core operational planning, enabling Amazon to make decisions that work for both the business and the neighborhoods we serve.
We are looking for an experienced, self-driven Business Intelligence Engineer who thrives in a fast-paced environment. In this role, you will work directly with data engineers, scientists, and software developers to build the analytical infrastructure that powers community intelligence at scale. You will own end-to-end development of BI solutions that translate complex AI/ML model outputs into actionable insights for stakeholders across Amazon.
You will work with novel data sources (survey data, media signals, NLP-derived sentiment, geospatial inputs), support AI-orchestrated workflows, and help build knowledge bases that enable self-service analytics. You should be comfortable navigating ambiguity, partnering with technical and non-technical stakeholders, and building scalable solutions that evolve alongside our roadmap.
Key job responsibilities
- Design, develop, and maintain scalable ETL processes that integrate diverse data sources including survey responses, media intake pipelines, NLP model outputs, and operational metrics
- Build and optimize data models and reporting data marts
- Ensure data quality, consistency, and reliability across pipelines
- Conduct analyses including trend detection, anomaly identification, and geographic segmentation for community-related business outcomes
- Support model performance monitoring and evaluation metrics for production NLP and forecasting systems
- Partner with scientists and engineers to build analytical infrastructure supporting AI-orchestrated workflows and LLM-based systems
- Contribute to knowledge base development that enables scaled pattern detection across data sources
- Interface with partner teams to understand data needs and deliver integrated reporting
About the team
Community Intelligence Science & Engineering (CISE) builds AI systems that help Amazon listen to and better serve the communities where we operate, scaling from hundreds of thousands to millions of community voices globally. Our work integrates community intelligence into core operational planning, enabling Amazon to make decisions that work for both the business and the neighborhoods we serve.
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