Are you curious about how the underlying cloud infrastructure driving Artificial Intelligence (AI) technologies is managed at Amazon? Did you know that inventing frugality-focused systems and tools for AI infrastructure lifecycle management is a collaborative front row seat to an incredible breadth of AI innovation initiatives? In the Alexa Excellence ALICE (AI Logistics for Infrastructure, Cost & Efficiency) team, we drive the infrastructure orchestration, efficiency and cost optimization mechanisms behind products such as Alexa+; striving to be the world's most capable AI personal assistant. We're seeking a Senior Business Intelligence Engineer who will be a technical BI leader on the ALICE India team, building robust, scalable analytics solutions that inform infrastructure investment decisions across Alexa and Amazon leadership. Key job responsibilities - Own the end-to-end BI strategy across ALICE's portfolio of infrastructure optimization products, including cost visibility, GPU capacity planning, infrastructure waste identification, and service health monitoring - Design and implement scalable dashboards, data models, and reporting solutions that provide visibility into Alexa's infrastructure spend and GPU utilization - Build and maintain data pipelines and self-service analytics capabilities that empower service owners across Alexa to analyze, forecast, and manage their infrastructure usage - Define metrics frameworks, KPIs, and data governance standards across ALICE products - Collaborate with SDEs and Data Engineers to implement data architecture and automate analytical processes - Communicate findings and recommendations to technical and non-technical audiences, including senior leadership (WBRs/MBRs/QBRs) - Mentor team members in BI architecture, data modeling, and analytics best practices - Drive operational excellence for BI solutions: reliability, data quality, and self-service access ### Basic qualifications - 10+ years of professional or military experience - 5+ years of SQL experience - 5+ years of developing automated reporting experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs ### Preferred qualifications - Master's degree in statistics, data science, or an equivalent quantitative field - Experience managing, analyzing and communicating results to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.