Revenue Analytics & Forecasting Lead, DSP

Yahoo Holdings Inc. in

Champaign (IL)

Hybrid

USD 111,000 - 231,000

Full time

14 days+

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Benefits offered by this job

Flexible hybrid work
Inclusive workplace

Job summary

Yahoo DSP seeks a Senior Manager, Revenue Analytics & Forecasting to lead performance analytics and forecasting for the DSP business. You will own pacing, revenue models, and executive-ready analyses while advancing AI-assisted tooling and self-service reporting.

Ideal candidates combine strong quantitative skills with business judgment, collaborating across FP&A, Sales Ops, and Finance, and communicating insights to senior leadership in a hybrid work environment.

Qualifications

  • 7+ years in revenue analytics, FP&A, BI, or GTM analytics in ad tech or marketplaces.
  • Expert SQL and strong Python; forecasting/time-series experience.
  • Hands-on AI-assisted analytics workflows with prudent judgment.
  • Experience with sales compensation analytics and quotas.
  • Ability to distill complex data into actionable leadership insights.
  • Strong statistics and risk-aware data framing.
  • Self-directed in ambiguous environments; able to switch between forecasting, tooling, and investigations.

Responsibilities

  • Lead DSP revenue performance analytics and pacing for executives.
  • Own forecasting outputs and build supplementary models where needed.
  • Analyze commission performance and seller economics with a monitoring framework.
  • Develop self-service analytics tooling using AI-assisted workflows.
  • Translate insights into actionable recommendations for senior leadership.
  • Collaborate with FP&A, Sales Ops, and Finance on planning cycles.

Skills

SQL
Python
Forecasting
AI tooling
Sales compensation
Data storytelling

Tools

Looker
Tableau
GCP
AWS

Job description

Yahoo DSP seeks a Senior Manager, Revenue Analytics & Forecasting to lead performance analytics and forecasting for the DSP business. You will own pacing, revenue models, and executive-ready analyses while advancing AI-assisted tooling and self-service reporting.

Ideal candidates combine strong quantitative skills with business judgment, collaborating across FP&A, Sales Ops, and Finance, and communicating insights to senior leadership in a hybrid work environment.

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