Offers “Amazon”

Expires soon Amazon

Business Intelligence Engineer - Amazon Homepage

  • Seattle (King County)
  • Design / Civil engineering / Industrial engineering

Job description

DESCRIPTION

The Amazon Homepage team is looking for a motivated individual with strong analytical skills to join our team. The work done by this individual will directly impact one of the most visited properties on the internet.

The Business Intelligence Engineer will contribute to statistical models, analyze very large data sets, and construct metrics using these modeling techniques to drive critical business decisions. Problems we work on every day include:
· How do we intelligently analyze, define, test, and populate customer segments?
· How do we better optimize our browsing and shopping experience for different segments to find the sweet spot between a variety of goals, including sales, education, and repeat customer engagement?
· Should we be thinking about customer experiences for new customers differently than we do for long-time customers?
· How can we more effectively collect useful data to help develop and refine our segments and algorithms?
· Do behaviors and segments differ by customer location and device type?

These analyses and models will guide critical business decisions by highlighting opportunities, identifying correlations, defining experiments, and determining cause and effect relationships.

The BI engineer should have a drive to work with large data sets and predictive algorithms to solve complex business problems.

Desired profile

BASIC QUALIFICATIONS

Demonstrated experience as a strong contributor to a data analytics team

Ability to manage and quantify improvement in an area of the company's business resulting from the application of business analytics, statistical models, optimization techniques, and machine learning.
· Ability to work with multiple tools and dive deep with a minimum of direct guidance.
· Demonstrated use of modeling results to improve business decisions, particularly using model-based decision criteria in real time systems.

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