Amazon Kuiper
Technology
APJSeniorBusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“APJ Senior Business Intelligence Engineer at Amazon Kuiper. Skills: Data science, Analytics engineering, Business intelligence. Analyze large data sets to identify patterns. Understand drivers”
What You'll Achieve.
Support key decisions for consumer business development; Drive data driven decisions across business operations; Drive subscriber growth strategies
Industry & Context.
Data-driven decision making
Subject to export control laws, Obtain export licenses
What They're Looking For.
Must Have
7+ years of professional or military experience, 5+ years of SQL experience, Experience programming to extract, transform and clean large 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), Advanced SQL skills, Bachelor's degree in a quantitative field
Nice to Have
Experience working directly with business stakeholders, Experience managing, analyzing and communicating results to senior leadership, Experience with information retrieval, data science, machine learning or data mining
What You'll Do.
Analyze large data sets to identify patterns
Generate insights for demand
Write queries to extract data and insights
Combine datasets within Amazon Leo with publicly available
Design automated reporting
Build automated reporting
Maintain automated reporting
Design recurrent analysis
Build recurrent analysis
Maintain recurrent analysis
Identify opportunities for automation
Accelerate insight generation
Analyze geo-spatial data
Create visualization of large geo-spatial data
Drive subscriber growth strategies
Leverage Amazon systems and tools
Process large datasets
Analyze large datasets
Deliver comprehensive written strategy documents
Consider different types of data and inputs
Consider broad range of stakeholders
How You'll Work.
Team & Collaboration
Across business operations; Across broad range of stakeholders
Communication Scope
Written strategy documents
Full Job Description
Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to communities beyond the reach of existing networks. The Amazon Leo APJ Consumer team is looking for a talented individual to lead data science and analytics that will support key decisions for consumer business development. This role is responsible for analyzing large sets of data and building pipeline for automated dashboards and reporting. A successful candidate will be independent, comfortable with ambiguity, and adept at dealing with large volumes of data including geo-spatial data. We are looking for someone who has built end-to-end analytical workflows, has experience in data visualization, and is obsessed with driving insights on statistically sound data. This position may require access to information, technology, or hardware that is subject to export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Employment in this position is contingent upon obtaining any required export licenses or other approvals from the United States government. As such, the successful candidate must be eligible to obtain any necessary export licenses or approvals based on their nationality, citizenship, and any other factors considered by the applicable export control regulations. Key job responsibilities * Analyze large data sets to identify patterns, understand drivers, and generate insights for demand, retention, service plan mix, and seasonality models * Write queries to extract data and insights combining datasets within Amazon Leo with publicly available datasets * Design, build, and maintain automated reporting, dashboards, and recurrent analysis in support of data driven decisions across business operations * Identify opportunities for automation to accelerate insight generation * Analyze and create visualization of large geo-spatial d
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