The Trade Desk-posted 2 months ago
$137,300 - $251,800/Yr
Full-time • Senior
New York, NY
1,001-5,000 employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

The Trade Desk is changing the way global brands and their agencies advertise to audiences around the world. How? With a media buying platform that helps brands deliver a more insightful and relevant ad experience for consumers -- and sets a new standard for global reach, accuracy, and transparency. We are proud of the culture we have built. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. We are seeking a Director of Global Revenue Analytics to lead our efforts in building a best-in-class analytics capability that drives The Trade Desk's growth strategy. This role combines deep technical expertise in data science with strategic revenue modeling and business acumen. The ideal candidate thrives at the intersection of quantitative rigor and executive storytelling-able to design sophisticated models while translating insights into strategic decisions for senior leadership. You will build and lead a global team focused on revenue performance analytics, forecasting methodologies, and advanced data science approaches to measurement. This is a highly visible role with significant exposure to the CFO, COO, and global Sales leadership. At The Trade Desk, you'll be at the center of shaping how the world's largest brands invest in media. This role offers the opportunity to set the global standard for revenue analytics, influence company-wide strategy, and grow a world-class analytics team.

  • Develop, maintain, and continuously enhance global revenue forecasting models that integrate historical revenue data, pipeline, advertiser/agency dynamics, and macroeconomic factors.
  • Partner with Sales Finance and Strategy teams to ensure forecasts are both statistically robust and strategically aligned.
  • Apply machine learning, econometrics, and predictive modeling techniques to drive better understanding of revenue drivers, seasonality, and advertiser behavior.
  • Translate complex datasets into actionable insights that inform go-to-market strategy, compensation design, and account planning.
  • Serve as a trusted advisor to senior executives on revenue trends, opportunities, and risks.
  • Synthesize analytics into clear narratives for board-level and executive-level decision-making.
  • Build and lead a high-performing global team of analysts and data scientists.
  • Establish best practices for analytics, governance, and measurement across geographies.
  • Drive cross-functional collaboration with Sales, Revenue Operations, Product, and Engineering.
  • 10+ years of experience in analytics, data science, or finance, ideally with exposure to high-growth technology or digital advertising companies.
  • Advanced degree in Data Science, Statistics, Economics, or a quantitative field preferred.
  • Strong proficiency in SQL, Python/R, and statistical modeling techniques.
  • Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow) and cloud-based data platforms (Snowflake, BigQuery, etc.).
  • Proven ability to design and implement revenue forecasting models at global scale.
  • Demonstrated experience leading analytics or data science teams in a global, matrixed environment.
  • Exceptional communication skills, with the ability to translate technical findings into strategic insights for executive stakeholders.
  • Strong business judgment, with a track record of shaping strategy through analytics.
  • Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents.
  • Retirement benefits such as a 401k plan and company match.
  • Short and long-term disability coverage.
  • Basic life insurance.
  • Well-being benefits.
  • Reimbursement for certain tuition expenses.
  • Parental leave.
  • Sick time of 1 hour per 30 hours worked.
  • Vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter.
  • Around 13 paid holidays per year.
  • Employees can purchase The Trade Desk stock at a discount through The Trade Desk's Employee Stock Purchase Plan.
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