Job Description

Responsibilities

• 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.
• Detail-oriented and organized, able to manage multiple priorities and stakeholders.
• Proactive, resourceful, and self-motivated; possesses intellectual curiosity and the drive to independently explore and solve problems.
• Able to work independently as well as part of a broader team.
• Experience with AB testing a plus.
• Experience with LLMs or machine learning tools for data analysis is a bonus.
• Adaptable and comfortable wearing many hats in a rapidly changing industry and company setting.

Benefits

• Full-Time, Salaried Position
• The opportunity to be part of something BIG