Sr. Manager, Revenue Analytics & Forecasting, Yahoo DSP

Overview

This role involves serving as a subject-matter expert on the performance of a demand-side platform (DSP) business. You will be responsible for revenue pacing and forecasting, sales performance analytics, and advanced ad hoc analysis to support executive decision-making.

You will build on an existing analytics foundation, including automated performance reporting and statistical forecasting systems—validating outputs, extending them, and developing independent insights. The position also includes hands-on development of new analytical tooling using modern AI-assisted development workflows.

Responsibilities

Revenue Pacing & Account Performance

• Act as a primary resource for DSP revenue performance, maintaining detailed command of pacing, advertiser-level trends, and underlying drivers
• Review, validate, and extend automated performance reporting, providing analysis and context beyond system-generated output
• Monitor account-level risk indicators, including deceleration, revenue concentration, and churn signals, and escalate emerging issues proactively
• Deliver clear, decision-relevant analysis and narrative to executive and global leadership

Forecasting

• Own the recurring review of revenue forecast output, developing an independent and defensible view of expected performance for the upcoming quarter and beyond
• Build and maintain supplementary models where existing systems do not fully address a business question
• Evaluate external predictors and leading indicators—including macroeconomic conditions, seasonality, and category dynamics—to improve forecast accuracy
• Support planning cycles, quarterly business reviews, and forecast-to-goal analysis in partnership with FP&A and leadership

Sales Performance & Commission Analytics

• Own ongoing tracking and analysis of commission performance across the sales organization, including earnings distribution, quota attainment, and commissionable revenue ratios
• Develop a consistent monitoring framework for seller economics, identifying outliers and emerging risks (elevated payout exposure and underperformance) early enough to inform action
• Analyze plan mechanics, including accelerator exposure, and surface structural findings to leadership
• Partner with Sales Operations and Finance on plan health while owning the analytical and monitoring layer

Analytics Tooling Development

• Dedicate substantial time to hands-on development, working daily in AI-assisted development environments to build, extend, and maintain internal reporting and analysis tools
• Convert recurring analytical questions into durable, self-service tooling rather than repeated one-off analyses
• Identify gaps, blind spots, and false positives in existing automated systems, and either resolve them directly or define precise requirements for the teams maintaining them
• Reduce time-to-insight for stakeholders across the organization

Advanced Ad Hoc Analysis

• Conduct in-depth investigations into margin drivers, structural performance patterns, and dynamics across advertiser, agency, vertical, and regional views
• Analyze drivers of customer retention and churn, translating findings into leading indicators the business can monitor
• Distinguish genuine demand signal from noise when performance shifts, and communicate uncertainty transparently where it exists

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
• Demonstrated 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, with strong judgment regarding where automated output may be incorrect, misleading, or incomplete
• 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 demonstrated ability to validate and extend existing analyses and systems, not only produce original work
• Commitment to accurate, risk-aware framing, including proactively surfacing limitations and data gaps
• Self-directed and effective in ambiguous environments, with the ability to move between forecasting, sales analytics, tooling development, and investigative analysis

Preferred Qualifications

• Prior experience in programmatic advertising or DSP/SSP economics
• Experience with cloud data platforms (GCP, AWS) and modern BI tooling (Looker, Tableau)
• Track record of building independent models or tools alongside established production systems, with sound judgment on when to rely on each

Compensation & Benefits

• Compensation range: $110,625.00 - $230,625.00/yr (varies based on location, skills, and experience)
• Incentive compensation opportunities may be included in the form of discretionary annual bonus or commissions
• Comprehensive benefits include healthcare, a 401k, backup childcare, education stipends, and additional benefits

Work Arrangement & Location

• Flexible hybrid work options are available.
• Most roles don’t require regular office attendance, but occasional in-person attendance for events or team sessions may be requested, with notice provided.
• A recruiter will confirm whether regular attendance at an office or facility is required for this specific role.