Related skills
data analytics looker sql google analytics prebidπ Description
- Analyze publisher and network-level performance data to uncover trends and revenue growth opportunities.
- Translate data into actionable insights and yield optimization plans for publishers.
- Diagnose performance issues and identify root causes of revenue fluctuations.
- Develop monetization hypotheses and measure results with data-driven reports.
- Lead macro-level yield initiatives for network-wide optimizations.
- Collaborate with Data Science, Product, and Engineering on auction mechanics.
π― Requirements
- 1+ years in ad tech, yield optimization, programmatic operations, or data analytics; preferably at a digital publisher or ad management company.
- Experience working with Looker or other BI visual reporting tools.
- Strong command of Google Ad Manager (GAM), Google Analytics, Prebid, and header bidding environments.
- Prior experience in publisher monetization, yield management, or revenue optimization.
- Ability to analyze auction metrics (eCPM, RPM, RPS, fill rate, latency) and turn insights into measurable actions.
- Working knowledge of site performance tools (e.g., Chrome Console, Professor Prebid, Google Lighthouse, WebPageTest) and understanding of UX tradeoffs in monetization.
π Benefits
- Highly collaborative, data-obsessed culture with growth opportunities across analytics, product, and strategy tracks.
- Access to cutting-edge monetization data and tech stack at scale.
- Competitive compensation and benefits.
- A supportive environment where ideas, experimentation, and continuous learning are valued.
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