Business Intelligence Engineer, Community Operations

Amazon • Bellevue, WA

19d • Onsite

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed