Business Intelligence Engineer

  • Amazon
  • Seattle, WA, USA
  • Dec 11, 2020
Full-time Business Intelligence (BI) Data Analysis Data Science ETL Python R Ruby SAS SQL Statistics

Job Description

As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional business analyst to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel

Sellers’ trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by diving deep into how we measure our progress and helping to identify and prioritize key areas of focus. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems.

The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. They will set the vision, strategy, and roadmap, and work alongside with stakeholders in the organization to make it happen. They know and love working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. They are analytical and creative, and don’t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.


  • Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
  • Translate basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs.
  • Review and audit existing ETL jobs and SQL queries.
  • Experience using Python, Ruby, or other scripting languages to automate data retrieval, manipulation, and analysis.
  • Experience using R, SAS, or other statistical packages.


  • Advanced degree in data science, statistics, or a related field.
  • 5+ years in the analysis space as a Business Intelligence Engineer, Business Analyst, Data Engineer, or similar roles.

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.


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