Business Intelligence Visionary, Prime Video Channels

2 weeks ago


London, Greater London, United Kingdom Amazon Digital UK Limited Full time

Be a part of shaping the future of entertainment at Amazon Digital UK Limited.


We are seeking a highly skilled Business Intelligence Engineer (BIE) to join our Prime Video Channels team in Europe. As a BIE, you will work closely with our business and finance teams to build analytical and statistical/machine learning solutions that drive performance improvements for the business.


Key Responsibilities:



  • Work with Marketing, Partner Management, Content Acquisition Management, other BIE and leadership to identify data needs and requirements
  • Build mechanisms to surface knowledge and learnings about the business
  • Set up and maintain self-service infrastructure (e.g. dashboards) for the team
  • Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis
  • Proactively create new metrics that represent key inputs/outputs of the business
  • Support automation processes across the team
  • Lead large scale projects data and analytical projects that help scale the business across the EU, or Worldwide
  • Work closely with finance team on regular analyses and reporting

Basic Qualifications:



  • Experience with theory and practice of design of experiments and statistical analysis of results
  • 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
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience in the data/BI space
  • Experience with data visualization using Tableau, Quicksight, or similar tools

Preferred Qualifications:



  • Experience managing, analyzing and communicating results to senior leadership
  • Master's degree in statistics, data science, or an equivalent quantitative field

Our team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting, please read on.



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