Sr.Business Intelligence Engineer, AWS DC Global Network Delivery

About the role

AWS Global Network Delivery Services keeps the cloud running. We own the delivery and operation of all AWS global infrastructure. This role is part of a diverse, cross-functional team that includes Product, TIPMS, network engineers, planners, builders, and operations leaders globally.

Responsibilities

• Partner cross-functionally to gather requirements and deliver end-to-end analytics solutions — translating ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools
• Collaborate with Sr.Business Leaders, TiPM, Product, DE to transform large, complex datasets into structured, analytics-ready insights that drive business outcomes
• Design, develop, and deploy production-grade context driven datasets and pipelines for self serve, enforcing mandatory code reviews, data quality checks, anomaly detection, and monitoring to ensure consistency, reliability, and reusability at scale
• Establish a BI platform enabling stakeholders to self-serve at scale
• Leverage AI to deliver practical and sophisticated solutions, pushing beyond conventional analytics approaches
• Mentor and develop junior team members — establishing and driving best analytics practices across the team
• Communicate results, insights, and recommendations across all levels of the organization — from engineering teams to senior leadership — distilling complex findings into clear, actionable narratives tailored to each audience
• Analyze source data systems and drive best practices in source teams

Requirements

7+ years of SQL, ETL or Oracle experience
Experience in the data/BI space
6+ years of developing automated reporting experience
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Knowledge of data warehousing and data modeling
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience managing, analyzing and communicating results to senior leadership
6+ years of relevant professional experience in business intelligence, data engineering, or analytics engineering

Qualifications

• Master's degree in statistics, data science, or an equivalent quantitative field
• Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.

Skills

Deeply analytical, endlessly curious, energized by the challenge of mining complex datasets to surface insights that change how the organization operates

Benefits

Final compensation will be determined based on factors including experience, qualifications, and location.

Pay

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs).

USA, VA, Herndon - 130,400.00 - 176,300.00 USD annually
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually

Schedule

Full-time