Revenue Analytics & Forecasting Leader

Yahoo Holdings Inc.

Baltimore (MD)

On-site

USD 111,000 - 231,000

Full time

14 days+

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Job summary

Yahoo DSP is seeking a Senior Manager, Revenue Analytics & Forecasting to lead revenue pacing, forecasting, and performance analytics for its DSP business. This role emphasizes independent modeling, executive-level storytelling, and AI-assisted tooling development.

The ideal candidate brings 7+ years in revenue analytics, expert SQL and Python, and hands-on experience with AI-enabled workflows, cloud data platforms, and looker/tableau for senior leadership reporting.

Qualifications

  • 7+ years of experience in revenue analytics, FP&A, or GTM analytics in ad tech or marketplaces.
  • Expert-level SQL and strong Python proficiency; experience with forecasting/time-series models.
  • Experience building or evaluating pacing curves and statistical forecasting methods.
  • Hands-on experience with AI-assisted development and analytics workflows.
  • Experience with sales compensation analytics, including quotas and commissions.
  • Proven ability to generate actionable insights from complex data for senior leadership.
  • Ability to validate and extend existing analyses and systems with strong judgment.

Responsibilities

  • Revenue pacing and account performance analytics for DSP revenue with trends and drivers.
  • Own forecasting reviews and develop defensible views of upcoming performance.
  • Analyze commission performance, payout risk, and quota attainment across sales teams.
  • Develop and extend analytics tooling and self-service reporting in AI-assisted environments.
  • Conduct deep ad hoc analyses on margin drivers, churn signals, and regional dynamics.

Skills

SQL
Python
Forecasting
AI-assisted development
Sales compensation analytics
Data storytelling
Risk awareness

Tools

GCP
AWS
Looker
Tableau

Job description

Yahoo DSP is seeking a Senior Manager, Revenue Analytics & Forecasting to lead revenue pacing, forecasting, and performance analytics for its DSP business. This role emphasizes independent modeling, executive-level storytelling, and AI-assisted tooling development.

The ideal candidate brings 7+ years in revenue analytics, expert SQL and Python, and hands-on experience with AI-enabled workflows, cloud data platforms, and looker/tableau for senior leadership reporting.

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