Senior Manager, Data Analytics and Revenue Forecasting

Zeta Global•New York, NY

1d•$170,000 - $180,000•Hybrid

About The Position

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 will turn complex commercial and financial data into a clear forward-looking forecast, actionable pacing insights, and executive-ready recommendations. The role is a core business partner to Programmatic leadership and will help strengthen planning discipline as the business scales. This is a hybrid role based out of our NYC office.

Requirements

7+ years of progressive experience in FP&A, data analytics, revenue forecasting, business analytics, or strategic finance; experience supporting a high-growth, data-rich commercial business is strongly preferred.
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. You can make a clear recommendation, explain the underlying evidence, and tailor the message for a senior business audience.
A collaborative operating style with the judgment to challenge assumptions constructively and work across Finance, Sales, Operations, and data teams.

Responsibilities

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.