Senior Manager, Data Analytics and Revenue Forecasting

New York, NY · USD 170,000-180,000 · Hybrid · Posted Oct 1, 2026

At a glance

Zeta is seeking a Senior Manager, Data Analytics and Revenue Forecasting to lead the Finance-owned view of Programmatic revenue, gross profit, and performance.
This role turns complex commercial and financial data into a clear forward-looking forecast, actionable pacing insights, and executive-ready recommendations.
The position serves as a core business partner to Programmatic leadership to help strengthen planning discipline as the business scales.

Own the Finance revenue and gross-profit forecast for Programmatic, including the weekly and monthly outlook, forecast assumptions, risks, and opportunities.
Build and maintain a forecast architecture that connects historical performance, daily pacing, advertiser and agency trends, pipeline, churn, seasonality, and other commercial drivers to a dependable Finance point of view.
Lead P&L forecasting, variance analysis, gross-margin and COGS analysis.
Create timely daily and weekly performance views that identify variance drivers early and translate them into clear actions for Finance and business leaders.
Develop executive materials and narratives for Programmatic leaders, including performance readouts, forecast updates, and decision support.
Partner with Commercial Finance on quarterly revenue-target modeling.
Advance automation and data reliability across Snowflake, Adaptive Planning, Workday, and reporting tools, reducing manual effort and increasing confidence in performance and forecast reporting.
Establish strong controls and documentation around forecast inputs, reporting logic, and recurring data-quality checks.

Demonstrated ownership of a revenue, gross-profit, or P&L forecast and the ability to explain performance drivers, risks, and tradeoffs to senior leaders.
Strong analytical and financial-modeling skills, including comfort working with large and imperfect data sets and turning analysis into a point of view.
Experience with planning, financial-reporting, and data tools such as Adaptive Planning, Workday, Snowflake, SQL, Tableau, Power BI, or similar platforms.
Excellent executive communication skills with the ability to make a clear recommendation, explain underlying evidence, and tailor messages for a senior audience.
A collaborative operating style with the judgment to challenge assumptions constructively and work across Finance, Sales, Operations, and data teams.

Experience supporting a high-growth, data-rich commercial business is strongly preferred.