Senior Business Intelligence Engineer, Amzl Orbit

Amazon Amazon · Big Tech · Austin, TX · Business Intelligence

This role is for a Senior Business Intelligence Engineer focused on performance measurement and management within Amazon Logistics. The engineer will lead a team in building analysis and visualization tools, retrieving, integrating, and presenting data to improve delivery network efficiency. Responsibilities include partnering with stakeholders, data engineering, and software development teams, conducting deep dives, analyzing large-scale logistics data, and developing queries and visualizations. The role requires strong analytical abilities, business acumen, and experience with large datasets and AWS technologies.

What you'd actually do

  1. Lead and develop a team of Business Intelligence Engineers and Business Analysts
  2. Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
  3. Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
  4. Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
  5. Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation

Skills

Required

  • 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

Nice to have

  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership

What the JD emphasized

  • large scale of data
  • large (multi-TB) data sets
  • large scale geo-spatial logistics and transaction data