Sr Business Intelligence Engineer, Cls Technology

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

This role is for a Senior Business Intelligence Engineer at Amazon Logistics, focusing on designing and building automated reporting and dashboards from complex data to identify strategic initiatives. The role involves working with large datasets, SQL, and BI tools, and collaborating with various internal teams to deliver data-driven solutions. While the team aims to leverage technology to improve learning outcomes, the core function of this role is data engineering and business intelligence, not direct AI/ML model development.

What you'd actually do

  1. Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.
  2. Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
  3. Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
  4. Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.
  5. Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.

Skills

Required

  • SQL
  • Data mining
  • Business intelligence tools (Tableau, QuickSight, PowerBI)
  • Programming for data extraction, transformation, and cleaning
  • Scripting for automation (e.g. Python)
  • Design of experiments and statistical analysis

Nice to have

  • Experience working directly with business stakeholders
  • Experience managing, analyzing and communicating results to senior leadership
  • Information retrieval
  • Data science
  • Machine learning
  • Data mining

What the JD emphasized

  • 5+ years of professional or military experience
  • 5+ years of SQL experience
  • Experience programming to extract, transform and clean large (multi-TB) 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) and advanced SQL skills.
  • 5+ years’ experience using business intelligence tools like Tableau, QuickSight, PowerBI etc.