Offers “Amazon”

Expires soon Amazon

Business Intelligence Engineer

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

Job description



DESCRIPTION

The Creative Intelligence team is seeking a Business Intelligence Engineer who can use data to solve complex customer problems. Our teams build global analytic products that proactively surface data driven insights to help grow and optimize Amazon's business.

In this role you will be responsible for solving complex and ambiguous analytical challenges. You will lead and influence business-critical decisions across multiple organizations and geographies with the metrics that you create and manage. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives, deal with ambiguity and advocate on behalf of the customers.

A successfully candidate will
· Be highly analytical, resourceful, customer-obsessed and team oriented
· Be able to manage multiple projects - including planning, prioritization, and task delegation
· Design, develop, and implement scalable, automated processes for data extraction, processing, and analysis
· Define analytical approaches and metrics strategy to uncover new insights
· Have a passion for sourcing, manipulating, and visualizing data to tell business stories
· Be able to clearly communicate strategic findings and recommendations
· Translate complex, technical concepts into business terms and vice versa
· Work with technology and analytics teams to support the development of tools and dashboards

Desired profile



BASIC QUALIFICATIONS

· 3+ years of professional experience in a business analyst/data analyst/statistical analyst role
· Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
· Advanced SQL knowledge for data mining and processing
· Advanced skills in Excel as well as data visualization tools like Tableau or similar BI tools
· Excellent communication (verbal and written) skills, and an ability to effectively communicate with both business and technical teams
· Ability to work effectively with Data Engineers to mine the right data sources efficiently and accurately

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