Sr Business Intelligence Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team

Amazon • Hilliard, OH

9d • $130,400 - $176,300 • Onsite

About The Position

The Central Infrastructure Analytics Team (CIAT) is the unified source for Infrastructure Operations data and business intelligence solutions across AWS's global data center fleet. We support Central Operations leaders running rack install, decommission, repair, logistics, capacity optimization, and network operations. We are looking for a Senior Business Intelligence Engineer to set the technical bar for analytics across the team, mentor and develop a team of BIEs, and partner directly with senior operations leaders on the metrics and narratives that drive day-to-day decision-making. You will own a customer area or capability domain end-to-end — defining the metric framework, designing the dashboards and Amazon Q topics that customers rely on, and shaping how CIAT delivers analytics enablement at scale. This role sits at the intersection of three things: deep technical craft (you write the SQL, design the data model, and build the dashboards yourself when it matters), team leadership (you set patterns the rest of the team follows), and strategic partnership (you influence what gets built and what gets sunset). Successful Senior BIEs on this team are equally comfortable in a working session with a director and in a code review with a junior engineer. They treat GenAI as a tool they actively use and shape — not a topic to read about.

Requirements

• 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience writing complex SQL queries
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field

Nice To Haves

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Experience in creating process improvements with automation and analysis, or experience in building financial and operational reports/data sets that inform business decision-making
• Experience in utilizing data and analytical skills to create, measure, and scale workflows to achieve accelerated hiring goals
• Experience in understanding performance metrics and developing them to measure progress against key performance indicators
• Experience reviewing and analyzing performance metrics to identify areas of opportunity that will drive performance improvement
• Experience in building financial and operational reports/data sets that inform business decision-making, or experience in creating process improvements with automation and analysis
• Experience in forecasting analyses
• Experience managing, analyzing and communicating results to senior leadership while working cross functionally across several teams
• Experience with Amazon internal data tools (Redshift, Athena, QuickSight) is a plus for internal candidates
• Experience with data center, cloud infrastructure, or hardware operations is valuable but not required — domain knowledge can be learned; analytical rigor cannot

Responsibilities

• Own a customer area or capability domain end-to-end — KPI definitions, dashboards, Amazon Q topics, WBR/MBR narratives, and the customer relationships that go with them
• Design and lead implementation of analytics frameworks that scale across multiple customer teams — metric taxonomies, measurement standards, and reusable dashboard patterns
• Partner with senior operations leaders to translate strategic questions into metric frameworks and analytics deliverables
• Mentor and develop BIEs through code reviews, design discussions, and project pairing — raising the team's technical bar
• Drive CIAT's analytics enablement strategy — Ambassador Program, dashboard ownership transfers, GenAI-powered self-service for Central Ops customer teams
• Shape how CIAT applies GenAI to analytics — design Amazon Q topics, define LLM-optimized dataset patterns, and establish evaluation practices the team adopts
• Lead complex cross-domain analyses that inform strategic decisions on capacity, repair, logistics, and infrastructure investment
• Evaluate and decide between dashboard implementations proposed by peer BIEs; identify opportunities to consolidate, sunset, or simplify the analytics estate
• Influence data architecture and pipeline priorities by working closely with CIAT's Data Engineering and Systems Development Engineering functions

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior