Business Intelligence Engineer, Community Operations

Role Summary

We are looking for an experienced self-driven Business Intelligence Engineer who thrives in a fast-paced 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.

- 3 years of processing large multi-dimensional datasets from multiple sources experience
- 2 years of developing automated reporting experience
- 2 years of performing statistical analysis experience
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data modeling warehousing and building ETL pipelines

- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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 Bellevue - 99500.00 - 160000.00 USD annually