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BI Engineer, AWS Finance, Analytics And Science Team

Own design and delivery of scalable data analytics solutions for AWS Finance decisions
Seattle
Mid-Level
yesterday
Amazon

Amazon

Global e-commerce and cloud computing leader offering online retail, digital content, and scalable web services to consumers and businesses worldwide.

Job Opportunity At AWS

AWS is one of Amazon's largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.

AWS Central Economics & Science (ACES) drives best practices for objectively applying economics and science in decision making across AWS. The team collaborates with AWS science and business teams to identify, frame, and analyze complex and ambiguous problems of the highest priority. Through data-driven insights and analytical resources, ACES supports strategic decision-making across the AWS global organization, including sales operations and business performance optimization.

The successful candidate will be an expert with SQL, ETL (and general data wrangling), and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will know and love working with business intelligence tools and can partner with customers to answer key business questions.

Key Job Responsibilities

  • Work with business customers to gather requirements and deliver complete data analytical solutions
  • Learn why customers are asking for data and what their underlying questions and business goals are
  • Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions
  • Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation
  • Drive data democratization throughout the organization, enabling others to self-serve their data needs
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BI Engineer, AWS Finance, Analytics And Science Team
Seattle
Engineering
About Amazon
Global e-commerce and cloud computing leader offering online retail, digital content, and scalable web services to consumers and businesses worldwide.