Amazon.com Services LLC
Technology
BusinessIntelligenceEngineer,CommunityOperations
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intelligence Engineer, Community Operations at Amazon.com Services LLC. Skills: Data engineering, Business intelligence, Machine learning. Design, build, and maintain scalable data pipelines. Develop and optimize ETL/ELT processes”
Industry & Context.
Data analysis; Troubleshooting
What They're Looking For.
Must Have
3+ years of experience in data engineering or analytics, Proficiency in SQL, Bachelor's degree in a quantitative field
Nice to Have
Master's degree or PhD preferred, Experience with AWS, GCP, or Azure, Experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification
What You'll Do.
and maintain scalable data pipelines
Develop and optimize ETL/ELT processes
Build and manage data warehouses and data marts
Create and maintain BI dashboards and reports
Perform complex data analysis and modeling
Collaborate with stakeholders to understand data needs
Implement machine learning models
Ensure data quality and integrity
Automate data processes
Troubleshoot data-related issues
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders
Full Job Description
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
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