Sr. Business Intelligence Engineer, Amzl Orbit

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

This role is for a Sr. Business Intelligence Engineer focused on performance measurement and management within Amazon Logistics. The primary responsibilities involve leading a team to build analysis and visualization tools, retrieving, integrating, visualizing, and presenting data to improve delivery network efficiency. The role requires strong analytical abilities, business acumen, and experience with large-scale data and AWS technologies. While the role mentions "data science, machine learning and data mining" in basic qualifications, the core function is business intelligence and data analysis, not direct AI/ML model development or deployment.

What you'd actually do

  1. Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
  2. Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
  3. Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
  4. Lead and develop a team of Business Intelligence Engineers and Business Analysts
  5. Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)

Skills

Required

  • SQL
  • Data Extraction
  • Data Transformation
  • Data Cleaning
  • Large Dataset Handling (multi-TB)
  • Design of Experiments
  • Statistical Analysis
  • AWS Technologies
  • Scripting for Automation (e.g. Python)
  • Advanced SQL
  • Information Retrieval
  • Data Science
  • Machine Learning
  • Data Mining

Nice to have

  • Working directly with business stakeholders
  • Translating between data and business needs
  • Managing, analyzing and communicating results to senior leadership

What the JD emphasized

  • 10+ 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.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining