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.
Requirements
3+ years in ad tech, yield optimization, programmatic operations, or data analytics.
Experience working with Looker or other BI visual reporting tools.
Strong command of Google Ad Manager (GAM), Google Analytics, Prebid, and header bidding environments.
Ability to analyze auction metrics (eCPM, RPM, RPS, fill rate, latency) and turn insights into measurable actions.
Working knowledge of site performance tools (e.g., Chrome Console, Professor Prebid, Google Lighthouse, WebPageTest) and understanding of user experience tradeoffs in monetization.
Excellent verbal and written communication skills; comfortable presenting complex ideas to both technical and non-technical stakeholders.
Ability to translate technical or statistical findings into clear business insights.
Excellent problem-solving, time management, and prioritization skills in a fast-paced environment.
Benefits
Highly collaborative, data-obsessed culture with growth opportunities across analytics, product, and strategy tracks.
Access to cutting-edge monetization data and tech stack at scale.
Competitive compensation and benefits.
A supportive environment where ideas, experimentation, and continuous learning are valued.