• Analyze publisher and network-level performance data to uncover trends, inefficiencies, and revenue growth opportunities. • Translate complex data into clear actionable insights and produce yield optimization plans for publishers and Customer Success Managers. • Diagnose and resolve performance issues, identifying root causes of revenue fluctuations and guiding teams to solutions. • Develop and validate hypotheses on monetization strategies; measure and communicate results through concise, data-driven reporting. • Lead or support macro-level strategic yield initiatives that advance network-wide optimizations and revenue growth. • Serve as an escalation point for advanced yield inquiries and collaborate on strategic projects that improve publisher performance. • Collaborate cross-functionally with Data Science, Product, and Engineering teams to continually improve auction mechanics, floor pricing models, ad product development, and ad layout strategies. • Enhance analytics frameworks and tools by partnering with internal teams, refining dashboards, and creating standard methodologies for performance measurement. • Support pre-sales and onboarding, using analytical insights to assess revenue potential and design optimal ad layouts. • Monitor alerts and coordinate with Customer Success, Demand and Support teams to resolve issues before they affect revenue. • Collaborate cross-functionally on A/B testing to support Yield-related experiments, and provide analyses to quantify lift and inform broader adoption.