Business Intelligence Engineer – Advertiser Intelligence

Job description

DESCRIPTION

Amazon is investing heavily to build a global, best in class advertising business and our organization is responsible for defining and delivering a collection of self-service performance advertising products that drive product discovery and sales. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.

The Advertiser Intelligence team is chartered with defining and developing data science and machine learning driven products that create actionable, high-value recommendations related to advertising campaign management. We answer customers' strategic questions such as "what products should I advertise today?" and "what auction bidding strategy would result in the most ad impressions, clicks, or conversions?"

We are looking for a Business Intelligence Engineer to build out a product analytics platform to deliver data-driven insight about the performance of our products.

You should be an expert with very big data, SQL, NoSQL, and modern BI tools for data extraction, analytics, and presentation. You must also be a highly motivated, self-starter who can operate across team boundaries to complete the mission at hand. In this role, you will work closely with engineering, product management, data scientists, and others in order to devise, implement, and analyze metrics that help us assess such things as the outcome of A/B tests, attribution of business performance to our products, and other indicators of the real-world performance of our recommendation and forecasting systems.

This is an excellent opportunity to teach, learn, grow, and have fun, while contributing to a rapidly growing pillar of Amazon's business!

Desired profile

BASIC QUALIFICATIONS

· Undergraduate degree in Math/Statistics/Engineering or other equivalent quantitative discipline; or equivalent experience (based on 3 years of relevant work experience for every 1 year of education)
· 3+ years of professional experience in business analytics at scale Experience in designing and implementing custom reporting systems
· Expert level hands-on statistical analysis skills
· Expert level Excel and/or Tableau skills
· Proficiency in SQL, including complex query construction and optimization
· Proficiency in at least one modern interpreted language such as Python
· Experience working cross-functionally, building and maintaining trust with internal stakeholders
· 1+ years of professional experience participating in a team employing an agile methodology