Director, Analytics & Insights - Programmatic

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

THE ROLE

The Programmatic Analytics and Strategy team at Zeta Global provide actionable insights to both external customers and internal teams. For external customers, analysts partner with Sales and Customer Success teams to monitor our optimization platform, design Real-time Brand Optimization surveys, introduce humanly designed segments to boost model exploration and learning, and deliver actionable insight presentations and lead marketing strategy discussions with clients. For internal teams, they provide feedback to our Product and Engineering teams on automation and model features to advance the reliability, reach, and effectiveness of programmatic campaigns. Ideally, you'll be located in the Fort Lauderdale, FL area. 

Responsibilities:

• Client-facing lead responsible for communication campaign strategy, reviewing campaign-based insights and providing a story-telling interpretation to provided insights.
• Work with clients to understand key business challenges and design analytic and testing plans to derive actionable intelligence.
• Own campaign performance and reporting insights while recommending opportunities for optimization.
• Reviewing performance of models across revenue, performance, and pacing.
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