Sr.Business Intelligence Engineer, AWS DC Global Network Delivery

Amazon • Herndon, VA

4d • $130,400 - $176,300 • Onsite

About The Position

AWS Global Network Delivery Services is responsible for the delivery and operation of all AWS global infrastructure, including data centers, servers, and cables, ensuring uninterrupted customer access to services. The team tackles complex supply chain and infrastructure challenges with numerous variables. They seek exceptional individuals to join a diverse, cross-functional team that collaborates globally across AWS to maintain high standards of safety and security while providing scalable capacity at a low cost. The role offers an inclusive culture that encourages bold ideas and empowers employees to see them through to completion.

This Senior Business Intelligence Engineer position requires a startup mentality, with the ability to move fast, think big, and partner directly with business and senior leaders to transform ambiguous problems into clear, data-backed recommendations. The role involves more than just building metrics and dashboards; it focuses on building context by owning the creation of relevant, context-driven source of truth datasets and metrics that track the infrastructure delivery process from intake through deployment to decommission. This provides leaders with end-to-end visibility into the health and efficiency of delivery milestones. The engineer will collaborate with Data Engineering, Product, and Software teams to design and build innovative self-service platforms, enabling business teams to answer their own questions independently.

The ideal candidate is deeply analytical, curious, and motivated by uncovering insights from complex datasets that can change organizational operations. They should be adept at asking critical questions, thoroughly analyzing data to understand not just what happened but why, and proposing solutions. The role emphasizes that effective BI enables decisions by providing timely and relevant information, not just reports. The engineer will build well-documented datasets and self-service tools, utilizing data mining, data modeling, and AI principles to assess business health and drive measurable improvements.

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

Nice To Haves

• Experience working directly with business stakeholders to translate between data and business needs
• 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.
• Experience programming to extract, transform and clean large (multi-TB) data sets

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
• Drive alignment on metrics definitions, taxonomy, and data governance across stakeholders
• 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
• Analyzing source data systems and driving best practices in source teams.

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: Senior