Freestar

Compensation

Full Description

Job Description: • 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. Requirements: • Bachelor’s degree or relevant work experience in Mathematics, Economics, Statistics, Business Analytics, Data Science, or a related quantitative field. • 3-5 years of experience in ad tech; preferably at a digital publisher or ad management company. Minimum 2 years of experience in an analytical role. • Deep familiarity with header bidding, Prebid, SSPs, DSPs, ad serving, Google Ad Manager, and major ad tech platforms. • Advanced skills in Excel and Google Sheets. Familiarity with working with large complex data sets. • Experience in SQL and willingness to adopt new data tools as needed. • Hands-on experience with data visualization and presentation tools to tell compelling stories with data. • Adept at deriving analytic insights, and presenting findings to external and internal stakeholders. • Strong written and verbal communication skills to explain complex yield strategies and analytical insights to technical and non-technical audiences. Benefits: • Full-Time, Salaried Position • The opportunity to be part of something BIG