Job Description

DESCRIPTION

Amazon seeks a Business Intelligence Engineer to be a key partner for the Sponsored Ads Verticals team.

A day in the life
This role will focus on building out the business insights & analysis practice for new self-serve advertising verticals. We generate insights to guide product and partner strategy, and we provide direct business strategy support to senior leaders.

About the hiring group
The Sponsored Ads Verticals team owns incubating and accelerating the advertising business for highly strategic product lines globally. As a fast-growing part of the Amazon Advertising organization, we work on complex engineering, optimization, econometric, and shopper-experience problems in order to maximize the opportunities to improve the customer journey on Amazon. We have "?carte blanche"? to redesign experiences and technical stacks ? from scratch if needed - in order to raise the customer experience in our supported product lines.

Amazon is investing heavily in building a world-class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.


Job responsibilities
We are looking for a top analytical mind to leverage our unique data and big data technologies to drive actionable insights that helps our self-service advertisers reach their full potential.

As a key analytics partner, the Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see high potential for 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.

This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including product managers, software engineers, data scientists, financial analysts, as well as senior leadership. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced and high-energy environment.

Key Responsibilities
? Build data pipelines to enable new metrics
? Create and track key advertiser success metrics
? Complete project based deep dives to drive business insights and guide product strategy
? Present findings and recommendations to business leadership
? Help build data systems that leverage diverse data sources to provide a comprehensive view of advertiser engagement
? Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

BASIC QUALIFICATIONS

? BS/MS in a quantitative field such as Information Technology, Business Analytics, Mathematics, Engineering, Computer Science, Operations Research, Machine Learning, Data Science, etc. BS with 5 years of relevant experience or MS with 4 years of relevant experience in quantitative analysis
? Proven expertise at automation of data ETL pipelines
? Experience with SQL
? Experience working with very large and disparate data sets
? Ability to work with complex and ambiguous business problems while managing competing objectives
? Ability to work across cross-functional teams and communicate output in oral presentation and written form

PREFERRED QUALIFICATIONS

? Experience with analytics tools such as R, Python, or Scala
? Experience with AWS Solutions, including EC2, S3, Redshift, EMR (or Hadoop)
? Experience with Big Data Technologies and familiar with the techniques and limitations of observational studies
? Skilled at data visualization and presentation