Yahoo DSP seeks a Senior Manager, Revenue Analytics & Forecasting to lead revenue pacing, forecasting, sales performance analytics, and advanced ad hoc analysis. The role involves validating and extending automated reporting, building analytical tools with AI-assisted workflows, and providing insights to executive leadership. Responsibilities include managing DSP revenue performance, forecasting revenue, analyzing sales commissions, developing self-service analytics tools, and conducting in-depth margin and retention analyses. Requires 7+ years in revenue analytics or related fields, expert SQL and Python skills, experience with forecasting models, AI-assisted development, and sales compensation analytics. Preferred experience includes programmatic advertising, cloud platforms (GCP, AWS), and BI tools (Looker, Tableau). Compensation ranges from $110,625 to $230,625 annually, with benefits including healthcare, 401k, childcare, education stipends, and flexible hybrid work options.
What you'll do
Serve as primary resource for DSP revenue performance, maintaining detailed command of pacing, advertiser-level trends, and underlying drivers
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Own recurring review of revenue forecast output and develop independent, defensible views of expected performance
Build and maintain supplementary models where existing systems do not fully address business questions
Evaluate external predictors and leading indicators to improve forecast accuracy
Support planning cycles, quarterly business reviews, and forecast-to-goal analysis with FP&A and leadership
Track and analyze commission performance across sales organization
Develop monitoring framework for seller economics, identifying outliers and emerging risks
Analyze sales plan mechanics and surface structural findings to leadership
Partner with Sales Operations and Finance on plan health and own analytical and monitoring layer
Develop internal reporting and analysis tools using AI-assisted development environments
Convert recurring analytical questions into durable, self-service tooling
Identify and resolve gaps or false positives in automated systems or define requirements for teams
Reduce time-to-insight for stakeholders
Conduct in-depth investigations into margin drivers, structural performance patterns, and dynamics
Analyze drivers of customer retention and churn and translate findings into leading indicators
Distinguish genuine demand signal from noise and communicate uncertainty transparently
Requirements
7+ years of experience in revenue analytics, FP&A, business intelligence, or GTM analytics, ideally in ad tech, digital media, or a scaled marketplace business
Expert-level SQL and strong Python proficiency
Experience building or critically evaluating forecasting and time-series models (e.g., pacing curves, ensemble methods, statistical forecasting)
Hands-on experience with AI-assisted development and analytics workflows
Experience with sales compensation analytics, including quota, attainment, and commission structures
Proven ability to generate actionable insight from complex data and communicate it effectively to senior and executive leadership
Strong statistical fundamentals and ability to validate and extend existing analyses and systems
Commitment to accurate, risk-aware framing, including surfacing limitations and data gaps
Self-directed and effective in ambiguous environments
Preferred: Prior experience in programmatic advertising or DSP/SSP economics
Preferred: Experience with cloud data platforms (GCP, AWS) and modern BI tooling (Looker, Tableau)
Preferred: Track record of building independent models or tools alongside established production systems
