Business Intelligence Engineer, Amazon Publisher Monetization, Analytics
Amazon
DESCRIPTION
The Amazon Publisher Monetization (APM) team in Ads is shaping the future of monetization for Amazon's advertising supported publishers (e.g., Prime Video, Twitch etc.). Our mission is to build earth's most customer-centric advertising services.
As we continue building out our team, we are looking for a Business Intelligence Engineer to own end to end data solutions for publisher. As a key analytics partner in APM Analytics team, you will influence the direction of the business by leveraging our data to delivery insights that drive strategic decisions and actions. This role involves translating complex publisher monetization challenges into specific analytics projects, conducting deep quantitative analysis, and effectively communicating results that shape our publisher strategies. You will help the organization identify, evaluate, and implement new tools and methodologies to enhance our monetization capabilities and deliver greater value to our advertising customers and publishing partners.
This role requires an individual with excellent business acumen, communication skills, and technical expertise, enabling effective collaboration across various functions including Product Managers, Data Engineers, Finance, Software Engineers, Data Scientists, and senior leadership. The successful candidate will be a self-starter who thrives in ambiguity and embraces challenges, demonstrating competence in handling complex publisher datasets and open business problems. You should have strong ownership and ability to work in our fast-paced, ever-changing, and high-energy environment, where your insights will directly impact the growth and success of our publisher monetization initiatives.
Key job responsibilities
- Support new initiatives and provide data ownership end-to-end with business stakeholders; drive continued growth through data insights
- Review existing data challenges to deliver a comprehensive solution with appropriate data strategy and tools
- Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies
- Simplify and re-invent current data solutions to support the business scope expansion
- Translate business problems into data questions, find solutions to solve those questions with resourcefulness
- Identify areas of opportunities and present analytical findings and recommendations to business leadership
- 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, operations, shopper, etc.
- Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation