Sr. Bie, Amazon Publisher Services

Amazon Amazon · Big Tech · NY +1 · Business Intelligence

This role focuses on building business intelligence infrastructure and providing analytical insights for Amazon Publisher Services, a division of Amazon's Advertising business. The Senior Business Intelligence Engineer will translate business problems into analytics projects, conduct quantitative analyses, and communicate findings to senior leadership. While the role involves exploring emerging technologies like ML for building tools, its core function is in data engineering, analysis, and BI infrastructure, not direct AI/ML model development or deployment.

What you'd actually do

  1. Define data requirements, translate business problems into data questions and build new metrics to draw business insights
  2. Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies
  3. Explore and deep dive into new areas across various programs as well as business functions to support business decision making
  4. Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, etc.
  5. Present analytical findings and make business recommendations to senior leadership

Skills

Required

  • 7+ years of professional or military experience
  • 5+ years of SQL experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis 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

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