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Director, Global Revenue Analytics

Job in New York, New York County, New York, 10004, USA
Listing for: The Trade Desk
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 137300 USD Yearly USD 137300.00 YEAR
Job Description & How to Apply Below
Location: New York

This job is with The Trade Desk, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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.

So, if you are talented, driven, creative, and eager to join a dynamic, globally-connected team, then we want to talk!

What we do:

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.

Join 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.

What you'll do:

Revenue Modeling & Forecasting:
- 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.

Advanced Analytics & Data Science
- 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.

Strategic Business Partnership
- 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.

Team Leadership & Scale
- 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.

Who you are:

Education & Experience
- 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.

Technical Skills
- Strong proficiency in SQL, Python/R, and statistical modeling techniques.

- Experience with machine learning frameworks (e.g., scikit-learn, Tensor Flow) and cloud-based data platforms (Snowflake, Big Query, etc.).
- Proven ability to design and implement revenue forecasting models at global scale.

Leadership & Influence
- 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.

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is…
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