Offers “Amazon”

Expires soon Amazon

Business Intelligence Engineer, Experimentation

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

Job description



DESCRIPTION

How can Amazon improve the advertising experience for customers around the world? How can we help advertisers and customers find each other in a meaningful way? Amazon Advertising creates and transforms the connection between retailers/service providers and customers. Join the Insights & Performance Team to contribute to product solutions that enable us to solve this through technology and automation.

Amazon Advertising seeks a Business Intelligence Engineer to join our Experimentation team to contribute to uncovering and building solutions to fuel campaign testing for our customers and internal teams. This person will be tasked with thinking critically about how to combine elements from existing systems, technologies and operational workflows, and translate this into tools and products that allow users to pursue testing in a fault-tolerant, insights-focused way. The ideal candidate must be willing to effectively project manage and prioritize across multiple tasks, exhibit strong problem solving skills and autonomy, and be ready to jump into a fast-paced, dynamic and fun environment.

Responsibilities:
· Work closely with product, operations, engineering and analytics teams to convert manual processes into automation.
· Create, own and maintain first generation prototype tools to feed future production features.
· Work closely with internal stakeholders and customers to gather feedback to inform scope, evaluate options, and continually refine and iterate on solutions over time.
· Create, own and maintain input and output metrics for your solutions that allow audit of user adoption, usage patterns and defect monitoring.
· Uncover data anomalies to drive structured always-on testing, recommendations and product innovation on behalf of customers.
· Drive alignment with stakeholders to carry your solutions forward into changes in workflow and processes to fuel innovation.

Desired profile



BASIC QUALIFICATIONS

· Bachelor's degree in Math, Finance, Economics, Engineering, Computer Science or related field
· Advanced working knowledge using SQL, ETL and Excel
· Experience with data visualization tools for reporting such as AWS Quicksight, Tableau or similar
· 2+ years experience with scripting or programming language (e.g., R, Python, Java)
· 3+ years experience in analytics, statistics or comparable analytics position
· Proven problem solving skills, attention to detail and structured approach to thinking
· Ability to effectively communicate with both business and technical teams
· Ability to deal with ambiguity and competing prioritization while maintaining autonomy and ownership

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