Amazon

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Senior Business Intelligence Engineer

Senior Business Intelligence Engineer

Job ID 
376422
Location 
US-WA-Seattle
Posted Date 
9/13/2017
Company 
Amazon Corporate LLC
Position Category 
Business Intelligence
Recruiting Team 
North American Teams - AWS

Job Description

Amazon Simple Storage Service (Amazon S3) is looking for a rockstar Business Intelligence Professional to drive business insights that will help drive one of the core Amazon Web Services (AWS) services and build and manage reports that will guide our business on a daily basis. Amazon S3 provides developers and IT managers with secure, durable, highly-scalable object storage. Our customers range from startups like Pinterest (https://aws.amazon.com/solutions/case-studies/pinterest/) to well-known enterprises like NASA (https://aws.amazon.com/solutions/case-studies/nasa-jpl-curiosity/). As a member of the Amazon S3 team you'll join other outstanding engineers and product managers to work hard, have fun, and create the future of cloud storage.

Amazon is known to be a metrics driven culture. This role will be responsible for answering questions about the state of our business, generating new insights to help guide the strategic direction of S3, building and maintaining reports for all levels of our organization, integrating new data sources into a S3 team-specific Redshift cluster, and ensuring data cleanliness and accuracy. You will have the opportunity to work with exciting new technologies like RedShift, Tableau, MicroStrategy, PowerPivot, and much more.

Basic Qualifications

  • Bachelor degree in Engineering or Masters in Math/Statistics/Finance or related discipline.
  • 5+ years of experience building business intelligence reports using one or more of the following tools: Tableau, MicroStrategy, and PowerPivot.
  • 10+ years of demonstrated quantitative and qualitative data science/business intelligence experience with impact to a business, a track record of problem solving using software systems, and the desire to create and maintain data warehouse systems.

Preferred Qualifications

  • Master degree in Engineering or Math/Statistics/Finance or related discipline.
  • 10+ years of demonstrated quantitative and qualitative data science experience with impact to a business, a track record of problem solving using software systems, and the desire to create and maintain data warehouse systems.
  • 3+ years of experience with Big Data Technologies like Hadoop or Hive
  • 3+ years of experience scripting using Perl, Ruby, Python, or other programming languages
  • Experience building business intelligence functions for international businesses of significant scale
  • Advanced knowledge and expertise with Data modelling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases
  • Must be detail-oriented with a demonstrated ability to self-motivate and follow through on issues.
  • Experience communicating with senior management (top level decision makers) as well as with colleagues from engineering, analytics, and business backgrounds.