Amazon Kuiper Commercial Services LLC
Technology
Sr.BusinessIntelligenceEngineer,B2C
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“Sr. Business Intelligence Engineer, B2C at Amazon Kuiper Commercial Services LLC. Skills: Business intelligence, Data engineering, Analytics engineering. Architect foundational business datasets. Build foundational business datasets”
What You'll Achieve.
Deliver fast, reliable broadband connectivity; Build analytics and data foundations; Measure customer behavior; Measure marketing effectiveness; Measure funnel performance; Measure growth; Enable data-driven decisions at scale
Industry & Context.
Data-driven decisions
U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S.
What They're Looking For.
Must Have
10+ years of professional experience, 5+ years of SQL experience, 1+ years of SQL, ETL or Oracle experience, 1+ years of processing large, multi-dimensional datasets, 1+ years of performing statistical analysis, 1+ years of developing automated reporting, Experience programming to extract, transform and clean large data sets, Experience with theory and practice of design of experiments, Experience with AWS technologies, Experience in scripting for automation, Advanced SQL skills
Nice to Have
Experience working directly with business stakeholders, Experience managing, analyzing and communicating results to senior leadership
What You'll Do.
Architect foundational business datasets
Build foundational business datasets
Maintain foundational business datasets
Develop SQL-based transformations
Develop ETL/ELT workflows
Structure marketing data
Structure customer data
Design Amazon QuickSight dashboards
Optimize Amazon QuickSight dashboards
Manage Amazon QuickSight dashboards
Conduct deep-dive analysis
Identify funnel drop-offs
Diagnose performance issues
Uncover customer insights
Evaluate marketing effectiveness
Translate business questions into analytical approaches
Translate business questions into data models
Translate business questions into self-service tools
Drive alignment on KPI definitions
Drive alignment on measurement frameworks
Drive alignment on taxonomy
Drive alignment on data governance
Support experimentation
Support predictive insights
Communicate with senior management
Drive best practices in operational excellence
Drive best practices in data modeling
Drive best practices in analysis
Ensure BI solutions support business
How You'll Work.
Team & Collaboration
Partnering with Data Engineering; Partnering with Product teams; Collaborate with Product; Collaborate with Sales Ops; Collaborate with Data Science; Cross-functional partners
Communication Scope
Communicate effectively; Senior management audiences; Business reviews
Process & Methodology
Roadmap planning
Full Job Description
Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access. We are seeking a strategic and technical Business Intelligence Engineer to build the analytics and data foundations that power Amazon Leo's global marketing engine. This role is critical in defining how a new Amazon business measures customer behavior, marketing effectiveness, funnel performance, and growth. You will design and build datasets, dashboards, pipelines, and measurement frameworks that enable Marketing, Product, and Leadership teams to make fast, data-driven decisions at scale. This is a high-impact role requiring both strategic vision and hands-on technical execution. You will own and evolve the backend data architecture within our Customer Dat (Treasure Data), building upon existing foundations as new data sources and use cases emerge. You will design and maintain datasets and pipelines across our B2C tech stack, partnering with Data Engineering and Product teams to ensure complete, accurate, and actionable data across the full customer journey. This role requires collaborative autonomy—you will make independent strategic and technical decisions and drive your work forward with minimal oversight, while actively coordinating with cross-functional partners to ensure alignment and shared success. Key job responsibilities * Architect, build, and maintain foundational business datasets across our tech stack and other internal systems to support analytics, reporting, and customer growth use cases. * Develop SQL-based transformations, data models, and ETL/ELT workflows to structure and unify marketing and customer data for customer lifecycle use cases. * Design, optimize, and manage Amazon QuickSight d
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