Sr Business Intelligence Engineer III, Community Operations
Bellevue, WAFull-timePosted Jul 22, 2026
We are looking for an experienced, self-driven Senior 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
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
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.
- 5+ years of SQL experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience managing, analyzing and communicating results to senior leadership
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually
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
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
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.
Basic qualifications
- 5+ years of professional or military experience- 5+ years of SQL experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred qualifications
- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually