The DSP Ads Product Analytics Team's Mission: Work alongside those who need product data to apply objective perspective and business logic to uncover insights, advise strategic decisions, and adjust to industry changes.
Requirements
10+ years of tech industry or equivalent experience.
Experience working effectively with science, data processing, and software engineering teams.
Bachelor's degree.
Deep experience in advertising technology including how AI is helping to define the future of AdTech.
Through experience a demonstrated ability to do advanced modeling and experimentation.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, NY, New York - 208,300.00 - 281,800.00 USD annually
Additional Information
We are seeking a scientist with deep programmatic and Ads experience to further the development and application of analytics methods to examine the complex data flows of the entre Amazon Ads system, and to translate deep-dives into actionable insights for our product teams. In this role you will develop new tools to analyze our advertising data to help improve the performance of our bidding algorithms, targeting and relevance systems, help advance our 3rd party and O&O supply strategy, and evaluate the adoption and impact of feature releases.
Key job responsibilities
- Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals.
- Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps.
- Formalize our analytics approach to the DSP auctions by analyzing bid spreads, auction depth, and simulating impacts of potential auction structure changes.
- 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 getting 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.
A day in the life
The DSP Analytics Leader will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. The candidate will then analyze the data and present papers and ongoing reports on actionable insights.
Amazon.com · New York, NY