Director, Global Revenue Analytics

About the Role

Key Responsibilities

• Develop, maintain, and enhance global revenue forecasting models that incorporate historical data, pipeline, advertiser/agency dynamics, and macroeconomic factors.
• Partner with Sales Finance and Strategy teams to ensure forecasts are statistically robust and strategically aligned.
• Apply machine learning, econometrics, and predictive modeling techniques to understand revenue drivers, seasonality, and advertiser behavior.
• Translate complex datasets into actionable insights to 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 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.

Requirements

• 10+ years of experience in analytics, data science, or finance, preferably in high-growth technology or digital advertising companies.
• Advanced degree in Data Science, Statistics, Economics, or a related quantitative field.
• Proficiency in SQL, Python/R, and statistical modeling techniques.
• Experience with machine learning frameworks such as scikit-learn or TensorFlow and cloud-based data platforms like Snowflake or BigQuery.
• Proven ability to design and implement revenue forecasting models at a global scale.
• 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 executives.
• Strong business judgment and a track record of shaping strategy through analytics.

Nice to Have

• Experience with revenue modeling in digital advertising or high-growth tech environments.
• Knowledge of econometrics and advanced predictive modeling techniques.
• Experience working with senior leadership and cross-functional teams globally.

Qualifications

• 10+ years of experience in analytics, data science, or finance.
• Advanced degree in Data Science, Statistics, Economics, or a related field.

Benefits & Perks

• Comprehensive healthcare (medical, dental, vision) with premiums paid in full for employees and dependents.
• Retirement benefits including a 401k plan and company match.
• Short and long-term disability coverage.
• Basic life insurance.
• Well-being benefits and reimbursement for certain tuition expenses.
• Parental leave and sick time of 1 hour per 30 hours worked.
• Vacation time up to 120 hours in the first year and 160 hours thereafter.
• Approximately 13 paid holidays per year.
• Stock purchase plan at a discount.
• Base salary range of $137,300 - $251,800 USD.