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We’re seeking a data-driven Yield and Data Analyst to lead yield strategy, performance analysis, and operational improvements across Rockbot’s programmatic and direct-sold media channels. This role is ideal for someone who thrives at the intersection of media planning, monetization strategy, programmatic, and process excellence. You’ll work cross-functionally with Sales, Product, Marketing, and Data to maximize operational efficiencies, fill rates, and supply setup across our Digital Out of Home (DOOH) and Connected TV (CTV) inventory.
Job Responsibility:
Own yield analysis across Rockbot’s media inventory, balancing fill, CPM, and partner goals
Analyze impression delivery, pacing, and budget utilization across programmatic and direct campaigns and supply channels
Develop and maintain dashboards that surface revenue trends, anomalies, and opportunities
Collaborate with Product and Engineering to improve ad server logic, targeting, and delivery efficiency
Audit and refine transparency files (ads.txt, sellers.json, s-chain) to ensure compliance and monetization integrity
Support pricing strategy, packaging, and forecasting for new product launches
Identify and resolve operational bottlenecks across campaign setup, reporting, and billing workflows
Support the trafficking on the advertising and retail media side with campaign setups
Requirements:
5–8 years experience in digital media yield management, revenue operations, or ad tech analytics
Deep fluency in media math: impressions, CPMs, budgets, pacing, and delivery logic
Strong understanding of programmatic ecosystems (DSPs, SSPs, ad servers) and DOOH monetization
Proficiency in SQL, Excel, and BI tools (Looker, Tableau, etc.)
Experience with transparency standards and troubleshooting ads.txt/sellers.json/s-chain
Exceptional communication and documentation skills—able to translate complexity into clarity
Entrepreneurial mindset with a bias for action and continuous improvement
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