Director, Ad Revenue Analytics & Yield Strategy
Core
Transform large-scale log-level advertising data into actionable business insights to drive yield and revenue performance.
Role type
Director, Ad Revenue Analytics & Yield Strategy
Builds
Scalable data pipelines and analytical models for ad inventory monetization and campaign performance evaluation.
Domain
Digital advertising / Ad tech / Media analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Log-level data analysis, SQL (large datasets), Python (pandas, NumPy), Databricks, Ad serving platforms (Google Ad Manager, FreeWheel), Statistical analysis, Automation scripting
Preferred skills
Cloud environments (AWS, GCP, Azure), Audience segmentation, Forecasting
Technologies
Databricks, Tableau, Python, SQL, Google Ad Manager, FreeWheel
Responsibilities
Analyze log-level data to uncover trends in yield, delivery, fill rate, viewability, and revenue; Develop scalable queries and data models to evaluate campaign performance and inventory monetization; Build and maintain robust data pipelines in Databricks to process large-scale ad event logs; Write optimized SQL queries to extract, transform, and validate advertising datasets; Develop Python scripts for automation, anomaly detection, and forecasting; Collaborate with Product and Engineering to improve data tracking and monetization systems.
Seniority
Director, strategic leadership with hands-on technical execution
