Returning Candidate?

Business Intelligence Engineer, Talent Analytics

Business Intelligence Engineer, Talent Analytics

Job ID 
Posted Date 
Amazon Corporate LLC
Position Category 
Business Intelligence
Recruiting Team 

Job Description

Business Intelligence Engineer, Talent Analytics
This position is located in Seattle, WA. We offer full relocation benefits.
The Business Intelligence Engineer (BIE) for Worldwide Operations and Customer Service Talent Management will work on a team in transforming massive, complex data sets into quantifiable relationships, trends, and actionable insights. The successful candidate will help produce the analytics that drive and chart progress against a multi-year talent strategy for Amazon's largest business unit. He/she will also support the development of reporting solutions and success metrics that will be sent to our WW Operations Leaders. We are seeking a candidate that loves working with business intelligence tools, can work to creatively solve problems using technology, can look critically at reporting tools so that we are leveraging the right tools for our business leaders, and can partner with customers to answer key business questions. The BIE, Talent Analytics must be analytical and creative, with the ability to think critically about data and draw insights. He/she should display skills in the following areas:
  • Translating basic business problem statements into data and analytics requirements
  • Selecting the appropriate tools, technologies, and statistical methods to solve problems
  • Working with internal customers to define the best output based on stakeholder needs
  • Writing queries that improve our reporting capability
  • Identifying and recommending opportunities to automate systems and tools
  • Presenting key insights verbally and in writing, including to a non-technical audience

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Basic Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics, business, or related discipline.
  • At least two years of experience in relevant business domains, including data warehousing, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions.
  • Ability to handle confidential and sensitive information with extreme discretion, including working with encrypted files.
  • Strong customer focus and a passion for process improvement
  • A passion for driving talent outcomes such as diversity, engagement, and leadership development

Preferred Qualifications

  • Expertise with developing or applying technology to automate data solutions
  • Direct experience using business intelligence reporting tools (HRBI, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, and other similar tools.)
  • SQL expertise or a willingness to learn
  • Experience with talent analytics