• Serve as the lead statistician for assigned individual clinical studies, providing hands-on support for study design, power and sample size calculations, statistical analysis plans, TFL shells, and interpretation of results • Execute and oversee statistical analyses, including review of tables, listings, and figures generated by internal teams or CROs • Prepare and review statistical methods and results sections for clinical study reports and contribute to integrated analyses • Provide statistical guidance on study design, data collection, data review, and analysis for clinical trials • Support efficient medical and safety data review and monitoring activities, including participation in DSMB meetings as needed • Contribute to the development and review of statistical components of regulatory submissions and responses to health authority questions • Support protocol development, amendments, and data review meetings with cross-functional teams • Review clinical study documentation for eCTD submissions, including familiarity with CDISC standards, SDTM, ADaM, and define.xml • Collaborate closely with clinical operations, data management, medical, regulatory, and safety teams to support global study execution • Contribute to continuous improvement of statistical processes

• 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.

• 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.

• Partner closely with Account Executives covering strategic accounts to support account planning, deal progression, and pipeline execution • Act as the operational backbone for complex enterprise pursuits, ensuring deals move efficiently from early engagement through close • Develop accurate, timely quotes and proposals for new and expansion business using Salesforce and CPQ tools • Track key deal milestones, dependencies, and internal deliverables to maintain momentum across enterprise opportunities • Coordinate cross-functional resources required to support enterprise pursuits, including Legal, Finance, Services, Product, and Marketing • Prepare executive-ready materials (especially presentations) for late-stage pursuits, QBRs/EBRs, territory reviews, and strategic customer engagements • Support expansion and renewal motions within strategic accounts by helping organize proposals, pricing scenarios, and customer-facing materials