Yield Data Analyst
Job Summary
We are seeking a highly analytical and data-driven individual to optimize and maximize monetization across our publisher partners. As a key member of our Yield team, you will monitor, analyze, and enhance yield performance using complex data sets, producing actionable insights and strategies. We are looking for a curious and proactive Yield Data Analyst who enjoys deep-diving into analysis and technical investigations, and producing creative ideas in a dynamic fast-paced environment.
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.
Qualifications:
- 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 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.
We’d also like to see:
- 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.
What you can expect in return:
- Full-Time, Salaried Position
- The opportunity to be part of something BIG
Freestar is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
This role is not eligible for visa sponsorship
