Job Level
JuniorMid-Level
Tech Stack
SQL
About the role
- 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; ensure rapid identification and diagnosis of revenue-affecting issues and performance drops.
- Produce data-driven summaries and actionable insights for internal teams and executives; communicate technical accuracy for varied stakeholders.
- Support Yield Managers and Publishers in implementing data-driven best practices and monetization strategies.
- Monitor macro and micro trends; provide proactive alerting on network or site-level issues and track key KPIs (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 and support data integrity projects.
- Project manage yield and data initiatives from planning through implementation; collaborate cross-functionally with Business Intelligence, Product, Engineering, Customer Success, Business Development, and Demand.
- Stay up-to-date on industry trends and 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.
- 2-4 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.
- Strong written and verbal communication skills to explain complex yield strategies and analytical insights.
- This role is not eligible for visa sponsorship.
- Experience with AB testing a plus.
- Experience with LLMs or machine learning tools for data analysis is a bonus.
- Detail-oriented, organized, proactive, and able to work independently and as part of a team.