Business Intelligence Engineer, Amazon Kids+

Amazon Amazon · Big Tech · Seattle, WA · Business Intelligence

This role focuses on building and maintaining data pipelines and analytics tools for the Amazon Kids+ subscription service, with a working knowledge and preferred experience in applying Generative AI and agentic AI workflows to data analytics and automation.

What you'd actually do

  1. Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards that provide insights into subscriber behavior, engagement patterns, and content performance
  2. Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting around key subscription metrics including acquisition, retention, and engagement
  3. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for stakeholders across Product, Content, Marketing, and Leadership teams
  4. Use analytical and statistical rigor to identify performance gaps and opportunities for optimization across the subscriber lifecycle

Skills

Required

  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)
  • Working knowledge of Generative AI (LLMs, agentic AI, context engineering) and its application to data analytics, automation, or BI tooling

Nice to have

  • Master's degree, or Advanced technical degree
  • Demonstrated experience building agentic AI workflows (e.g., multi-step automation, LLM-augmented pipelines) for data modeling, metric generation, or analytical reporting

What the JD emphasized

  • Working knowledge of Generative AI (LLMs, agentic AI, context engineering) and its application to data analytics, automation, or BI tooling
  • Demonstrated experience building agentic AI workflows (e.g., multi-step automation, LLM-augmented pipelines) for data modeling, metric generation, or analytical reporting

Other signals

  • build critical data pipelines and analytics tools
  • understand how children engage with our subscription service
  • data-driven decisions to grow and improve the Kids+ subscription service
  • design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards
  • subscriber behavior, engagement patterns, and content performance
  • key subscription metrics including acquisition, retention, and engagement
  • identify performance gaps and opportunities for optimization across the subscriber lifecycle
  • Working knowledge of Generative AI (LLMs, agentic AI, context engineering) and its application to data analytics, automation, or BI tooling
  • Demonstrated experience building agentic AI workflows (e.g., multi-step automation, LLM-augmented pipelines) for data modeling, metric generation, or analytical reporting