Business Intelligence Engineer

Job description

DESCRIPTION

Amazon.com seeks a Business Intelligence Engineer, to be a key partner for Amazon's Performance Advertising business, a high-growth Advertising business with a range of products offerings for advertisers and using “pay-per-click” business model. We love data and we have lots of it. We're looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model as well as the relationship this business has with Amazon's core eCommerce business – and leveraging this knowledge to help turn the flywheel of the business.
As a key analytics partner, you will have the opportunity to work on one of the world's largest consumer and advertising data sets, as well as influence the long-term evolution of our products and the way they fit in Amazon's ecosystem. This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including economists and other finance leaders, product managers, software engineers, data scientists as well as senior leadership.

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must.
This role will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. The role will involve translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for influence and growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon's customers.

Desired profile

BASIC QUALIFICATIONS

· BS in Computer Science, Machine Learning, Operations Research, Applied Mathematics, Applied Economics or in another quantitative field
· 3+ years of hands-on experience in data mining and/or quantitative analysis – both descriptive and inferential/predictive analysis.
· Fluent knowledge of relational databases (SQL).
· Experience working with very large, disparate data sets
· Ability to distill problems and constraints from informal business requirements and to be comfortable dealing with ambiguity and competing objectives
· Proven capability to identify opportunities to combine disparate data sources to uncover new business insight
· Ability to distill problems and constraints from informal business requirements and to craft an analytic approach to solving the issue
· Ability to distill and communicate complex analysis and insights in oral presentation and written form
· A natural curiosity and desire to learn