Amazon Kuiper Commercial Services LLC

Technology

Sr.BusinessIntelligenceEngineer,B2C

$130–176k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Technology
Problems you'll solve

Data-driven decisions

Eligibility Requirements

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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