Sr. BIE, Amazon Publisher Services

About the role

Amazon Publisher Services helps digital publishers around the world build and grow thriving businesses. We provide services and advanced technologies to web, mobile app, and streaming TV publishers of all sizes, to help them monetize their content with demand from Amazon and other programmatic buyers. Our server-side header bidding solutions are fast and reliable across devices, handling billions of queries per day, delivering ads in milliseconds. The result is more profitable advertising for publishers and more relevant ads for customers.

Requirements

• 7+ years of professional or military experience
• 5+ years of SQL experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with theory and practice of information retrieval, data science, machine learning and data mining
• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• The base salary range for this position is listed below. Your Amazon packag

Additional Information

Amazon Publisher Services (APS) seeks a Senior Business Intelligence Engineer (BIE) with strong technical, analytical, and business intelligence skill sets and experience to be a key partner for Amazon's Advertising business, focusing on third party supply. This individual will be a key contributor in building out business insights, analysis, and BI infrastructure. In this role, the BIE will influence the direction of the business by leveraging Amazon Ads 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. There is a high potential for growth in this role as we transform our data into actionable insights that continue to fuel the growth of this business. The role will help the APS 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 cross-functional partners. A successful candidate is a self-starter, comfortable with ambiguity and complex datasets, and solving business problems. This individual must have strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment. Join this team to experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon Inc. (AMZN), one of the world's leading Internet companies. We provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, Austin, New York, Los Angeles, London, and Tokyo. Learn more at aps.amazon.com. Key job responsibilities * Define data requirements, translate business problems into data questions and build new metrics to draw business insights * Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies * Explore and deep dive into new areas across various programs as well as business functions to support business decision making * Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, etc. * Present analytical findings and make business recommendations to senior leadership * Conduct best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation * Develop exploratory analyses including use of statistical techniques and explore emerging technologies such as ML to build models and tools used by management for decision making * Simplify and re-invent current data solutions to support the business scope expansion

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