• Lead, mentor, and grow a distributed analytics team across multiple time zones. • Establish priorities, set goals, and manage performance to foster a high-performing analytics organization. • Develop and implement analytics standards, best practices, and processes to ensure quality and consistency. • Partner with cross-functional teams. • Drive deep analysis to surface trends, opportunities, anomalies, and actionable insights. • Present data-driven recommendations to senior leadership and influence strategic decision-making. • Oversee and guide the development of dashboards, automated reports, and analytics tools using BI platforms (e.g., Tableau, Looker, Power BI). • Ensure robust data pipelines, reliable metrics, and scalable reporting solutions in collaboration with data engineering. • Prioritize analytics projects, balance roadmap demands, and ensure timely delivery. • Champion analytical excellence, including experiment design, KPI definition, and model validation.

• Identify, analyze, and interpret trends in complex data sets to maximize publisher yield. • Extract and analyze bidstream and auction data to surface trends, anomalies, and optimization opportunities. Provide recommended changes to enhance bidding dynamics and yield outcomes. • Develop and maintain analytic monitoring and alerting systems for yield management, ensuring rapid identification and diagnosis of revenue-affecting issues and performance drops. • Produce data-driven summaries and actionable insights for internal teams and executives, ensuring technical accuracy and clear communication for a range of technical and non-technical stakeholders. • Support Yield Managers and Publishers in implementing data-driven best practices and monetization strategies. • Monitor macro and micro trends, providing proactive alerting on network or site-level issues and tracking key KPIs (ie fill rate, eCPM, revenue, latency, viewability). • Investigate and respond to technical or operational issues to maximize yield without compromising user experience, site speed, or ad quality. • Build and maintain AB testing frameworks, reporting, and result interpretation. • Perform root cause analysis for data or ad-serving problems; provide technical QA for new publisher onboarding, AB tests, product launches, and engineering initiatives. • Act as a subject matter expert for Freestar data capabilities. Support data integrity projects. • Project manage yield and data initiatives from planning through successful implementation, ensuring clarity, accountability, and effective communication. Collaborate cross-functionally with Business Intelligence, Product, Engineering, Customer Success, Business Development, and Demand. • Stay up-to-date on industry trends and emerging yield opportunities; recommend and pilot innovative monetization solutions.

• Analyze large datasets to identify trends and insights • Build scalable analytics pipelines • Automate reporting and analytics processes • Create clear reports for stakeholders • Collaborate with cross-functional teams

• Serve as primary contact for analytics requests and story development • Scope and coordinate new analytics requests • Manage JIRA tickets for data requirements • Collaborate with teams to ensure data quality • Support UAT for reporting tools