Amazon.com - Seattle, WA

posted 2 days ago

Full-time
Seattle, WA
General Merchandise Retailers

About the position

Want to be part of a team that is helping redefine the future of video advertising? Prime Video is looking for a world-class Science & Analytics Leader to help us assemble and execute against our team's strategic advertising initiatives and change how advertisers engage with consumers via streaming media around the world. Video Advertising is rapidly evolving as customers shift their viewing experiences from traditional linear TV to streaming via connected devices. Prime Video is a rising player in this space. We have differentiated assets in terms of consumer experiences and audience insights against a breadth of exclusive content which positions us well for the long-term. We are seeking a Science & Analytics Leader to manage the development and application of methods to: examine the complex data flows of the Prime Video Advertising, translate deep-dives into actionable insights for our product teams; and build new tools and services in order to dynamically optimize the business with customers and advertisers. In this role, you and your teams will analyze our advertising-related data to enable sound business insights ongoing while also helping to improve the performance of our packaging and ad serving decisions. This will need to take into account advertiser demand and customer engagement expectations, desired targeting and relevance outcomes, and the adoption and impact of new ad product releases.

Responsibilities

  • Analyze data trends regarding supply/demand optimization, ad load, and mix effects that affect advertiser objectives and customer experience.
  • Provide analysis to senior leaders on issues like business impact of new feature development, addressability or recognition rates, and changes of ad serving systems to improve monetization rate and customer experience - highlighting insights that will inform our business development and engineering roadmaps.
  • Formalize our approach to balancing CX and yield optimization by analyzing supply and demand patterns across multiple channels and products.
  • Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities.
  • Partner with engineering teams to define data logging requirements and get these prioritized in engineering roadmaps.
  • Validate financial models through analysis.
  • Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives or low-touch insights.

Requirements

  • Master's degree or PhD in a field that has significant emphasis on quantitative methods such as statistics, or mathematical optimization.
  • Solid business judgment capable of driving an organization to the right results with a focused, pragmatic, approach to data analytics.
  • Experience operating successfully in a fast-paced, results-oriented environment, and having the ability to influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of alternatives.
  • Close familiarity and understanding of RTB/DTB supply data including the systems and processes required to turn a bid request from a publisher into an ad seen by a person.
  • Track record of mentoring and growing an impactful data analytics team.

Nice-to-haves

  • 10+ years of experience in advertising analytics or a related analytical field, or an equivalent combination of education and experience.
  • The ideal candidate will have led large scale analytics initiatives and has experience with digital advertising and DSPs.
  • Knowledge of Big Data mining and business intelligence techniques.
  • Familiarity with managing large-scale regulatory data requests from worldwide government agencies.
  • Experience with proactively identifying new areas of exploration in the advertising analytics space, continuously raising the bar for business impact.
  • Experience leading a 10+ member analytics team.

Benefits

  • Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.
  • Full range of medical, financial, and/or other benefits.
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