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Business Intelligence Engineer, MENA Product Team

Amazon is a global technology and e-commerce company that operates the world's largest online marketplace.
Dubai - United Arab Emirates
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS · E-Commerce
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Description For Business Intelligence Engineer, MENA Product Team

The Amazon MENA CX Product team is seeking a skilled Business Intelligence Engineer to join their team focused on transforming raw data into actionable insights. This role is critical in improving customer experience across Amazon's store, from search and navigation to checkout. The position involves leading data analytics for key shopping journey verticals, working with BI tools, and performing complex analyses to drive product decisions. The ideal candidate will partner closely with Product teams, automate critical reports, and shape product design through data-driven insights. The role requires strong analytical skills, experience with large datasets, and the ability to work in a fast-paced environment. This position offers an opportunity to directly impact Amazon's MENA customer experience through data-driven solutions and insights.

Last updated 18 days ago

Responsibilities For Business Intelligence Engineer, MENA Product Team

  • Interface with business & finance customers, gathering requirements and delivering BI solutions
  • Own design, development, and maintenance of metrics, reports, and dashboards
  • Improve ongoing reporting and processes, automating and scaling self-service support
  • Write high quality code to retrieve and analyze large data sets
  • Identify patterns in data and make data-driven recommendations
  • Develop understanding of key business metrics/KPIs

Requirements For Business Intelligence Engineer, MENA Product Team

Python
  • 5+ years of SQL experience
  • Experience in programming to extract, transform and clean large (multi-TB) data sets
  • Experience in the data/BI space
  • Experience working directly with business stakeholders
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab

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