Senior Business Intelligence Engineer , Amazon Global Air

Job description

Are you a builder who can decompose a business question into the drivers that matter and shape them into the decisions that run a global air network? Amazon Global Air's Global Insights & Analytics (GIA) team is hiring a Senior Business Intelligence Engineer to define and own the analytical strategy for high-ambiguity problem spaces end to end: from framing the right question, to the scalable data architecture behind it, to the solution and narrative that drive cross-functional decisions. This is a role for someone who wants to master the analytical craft at the senior level. You'll build on strong data foundations, pair them with predictive thinking (forecasting, variance attribution, and impact quantification), and design agentic, AI-native systems that enable the business to self-serve at speed. You'll also set technical direction for how the team does analytics, influence peers across organizations, and raise the bar on what "good" looks like for the broader DABI analytics community. You'll join a team of experienced engineers and partner directly with supply chain business stakeholders, operations, product and program, and engineering leaders across Amazon Global Air and Amazon Transportation Services Network. Key job responsibilities - Define and own the analytical approach for ambiguous, cross-team problem spaces where no clear methodology exists; operate with independence - Design scalable, extensible data architectures, ETL patterns, and metric frameworks that other BIEs and partner teams build on - Write complex SQL to mine, validate, and analyze data across large, multi-dimensional datasets; conduct root-cause deep-dives and set the standard for data-quality practices - Build and own strategic reporting and measurement systems that advance supply chain network current operations decisions and long-term planning decisions - Develop and present clear written narratives and recommendations to senior and executive leadership, connecting analysis to business strategy and quantifying tradeoffs - Drive the advancement of GenAI and agentic tooling across the team's workflow, setting the technical direction for how AI-native analytics get built and scaled - Design self-service analytics and enablement mechanisms that compound the team's capacity and reduce dependency on individual BIEs - Apply predictive and analytical techniques (forecasting, variance attribution, impact quantification) to influence decisions across multiple teams, and ensure outputs are accurate, explainable, and actionable - Mentor L4/L5 BIEs; raise the technical and analytical bar across the team through code reviews, architecture guidance, and thought leadership A day in the life Most days mix strategic work with hands-on building. You start by framing a new cross-team analytics problem with a Director-level stakeholder, defining what "answered" means before assigning work. Mid-morning you review a BIE's data model and coach them on extensibility, then build a variance attribution framework that isolates why a network KPI moved. After lunch you prototype an agentic workflow that replaces a recurring manual deep-dive, validate it against production data, and document how partner teams can trigger it themselves. Later you draft the narrative for a senior leadership review, quantifying the tradeoff between two capacity strategies and recommending a path. You operate with independence but influence frequently. About the team Global Insights & Analytics (GIA) is the analytics function for Data, Analytics, and Business Intelligence team at Amazon Global Air, delivering the metrics, data products, and insights that leaders use to run and optimize the network. We're investing heavily in self-service and AI-native analytics to expand our reach and impact, and we care about building analytics that are trustworthy, well-modeled, and durable. You'll join a team of experienced BIEs who value deep technical craft and real business partnership. Basic Qualifications: - 10+ years of professional or military experience - 5+ years of SQL experience - 1+ years of SQL, ETL or Oracle experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting experience - 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience - 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - 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 Preferred Qualifications: - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted st