✦ Luna Orbit — Data & Analytics

Business Intelligence Engineer , TOM Central Program - Data Infra Team

at Amazon.com

📍 US, WA, Bellevue Unknown Posted April 15, 2026
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

Amazon is hiring a Senior Business Intelligence Engineer for the TOM Central Program Data Infrastructure team. The role focuses on building scalable, automated analytics and AI-ready data infrastructure to power self-service insights, dashboards, and AI-enabled operational improvements.

  • Own and build scalable, automated reporting and analytics solutions
  • Develop AI-ready data models and datasets for AI-enabled insights
  • Partner with stakeholders to translate ambiguous problems into data-driven solutions
  • Design and optimize robust, cost-efficient data pipelines and metrics frameworks
  • Build and evolve business-critical dashboards and KPIs

You will design and evolve AI-ready data models and datasets, enforce data governance and data quality, and build cost-efficient, robust data pipelines across the end-to-end data lifecycle. The work includes metrics frameworks, business-critical dashboards and KPIs, and automation to accelerate insight generation.

The ideal candidate is a senior Business Intelligence Engineer who deeply understands data modeling and large-scale dataset design for AI-ready analytics. They build scalable reporting, self-service dashboards, and cost-efficient data pipelines while enforcing data governance and data quality across the end-to-end data lifecycle for TOM Operations and Amazon Transportation.

deep expertise in data modeling and large-scale dataset designbuild scalableautomated reporting and analytics solutionsdevelop AI-ready data models and datasetsdesign and optimize robustcost-efficient data pipelinesbuild and evolve business-critical dashboards and KPIs
data modelinglarge-scale dataset designdata infrastructureAI-ready data modelsAI-enabled insightsdata pipelinesdata qualitydata governanceend-to-end data lifecyclemetrics frameworksreporting and analytics solutionsself-service insightsdashboardsKPIsprocess simplificationautomation
data modelinglarge-scale dataset designdata infrastructureAI-ready data modelsAI-enabled insightsdata pipelinesdata qualitydata governanceend-to-end data lifecyclemetrics frameworksdashboard developmentKPIsself-service analyticsreporting and analytics solutionsprocess simplificationautomationAI to accelerate insight generationcost-efficient data pipelines
stakeholder managementcross-functional collaborationproblem translationleadershipinfluencing strategysolving complex problems using data-driven insightscommunication
Industry Logistics
Job Function Design and deliver AI-ready data infrastructure and scalable BI reporting to improve TOM Operations efficiency and decision-making
Role Subtype Analytics Engineer
Tech Domains Python, SQL / PostgreSQL, Amazon Web Services
Business Intelligence EngineerBI DeveloperSenior Business Intelligence Engineerdata infrastructureAI-ready data infrastructureAI-ready data modelsAI-enabled insightsdata modelinglarge-scale dataset designdata governancedata qualitydata pipelinesend-to-end data lifecyclescalable automated reportingself-service insightsdashboardsKPIsmetrics frameworkscost-efficient data pipelinesprocess simplificationautomationAI to accelerate insight generationtransportation networkAmazon TransportationTOM Operations

Must have deep expertise in data modeling and large-scale dataset design, Must be able to build AI-ready data models and AI-enabled insights

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