Bachelor’s or Master’s in Business Analytics, Finance, Economics, Statistics, or a related field
4+ years of experience in advertising analytics, pricing/yield analysis, or revenue strategy—ideally in publishing, media, or ad tech
Proven ability to analyze large datasets and deliver actionable insights related to pricing, revenue, and inventory performance
Hands-on experience with SQL and data visualization tools (e.g., Tableau, Power BI)
Strong understanding of digital advertising metrics and monetization levers, including CPM, fill rate, viewability, floor pricing, and inventory allocation
Familiarity with adtech platforms such as Google Ad Manager, Operative, The Trade Desk, and ideally Permutive or other CDPs
Responsibilities
Analyze how inventory structure, site design, and user behavior impact direct and programmatic revenue streams
Partner with Product and Engineering teams to model the financial impact of roadmap and site architecture changes
Own tactical diagnostics of ad delivery and yield, surfacing optimization opportunities to Ad Operations
Develop benchmarks, KPIs, and dashboards to track inventory performance across platforms and ad types
Support experimental monetization initiatives with structured data analysis and feedback loops
Partner with Product teams to provide feedback on inventory creation, ad product performance, and monetization opportunities
Occasionally support analysis of campaign-level or audience-level performance, particularly where it intersects with pricing or inventory yield
Contribute to longer-term efforts around AI/automation in inventory management, pricing optimization, and revenue forecasting