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We are seeking a Yield Strategy & Analytics Director to transform large-scale, log-level advertising data into actionable business insights. This role sits at the intersection of ad tech, data engineering, and analytics. You will work closely with Revenue, Ad Operations, Product, and other teams to analyze data from platforms such as Google Ad Manager and FreeWheel, leveraging modern data tools like Databricks, Tableau, Python, and SQL. This role is onsite based out of NYC.
Job Responsibility
Analyze log-level data from ad servers (e.g., Google Ad Manager, FreeWheel) to uncover trends in yield, delivery, fill rate, viewability, and revenue performance
Develop scalable queries and data models to evaluate campaign performance, inventory monetization, and audience segmentation
Translate complex findings into actionable insights for non-technical stakeholders
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, forecasting, and statistical analysis
Collaborate with Product and Engineering to improve data tracking and monetization systems
Requirements
Bachelor’s degree in Data Science, Analytics, Statistics, Economics, Computer Science, or a related field
8-10 years of experience in digital advertising, ad tech, or media analytics
Advanced SQL skills with experience querying large datasets
Proficiency in Python for data analysis and automation (pandas, NumPy, etc.)
Hands-on experience with Databricks or similar big data processing environments and familiarity with cloud environments (AWS, GCP, or Azure)
Familiarity with ad serving platforms (Google Ad Manager, FreeWheel) and experience working with log-level data at scale
Strong analytical, problem-solving, and communication skills