Data Analyst, Data Cloud Intelligence

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

Our Data Cloud group takes an innovative approach to help marketers identify insights and size opportunities, develop audiences/segments for targeting, construct media mix plans, partner with creative and messaging as well as test and measure the incremental impact of campaigns. The role will help develop and refine the go-to-market approach for Zeta’s business units as well as partner with client services and sales teams to pitch and scope prospect opportunities.

In addition, the Strategy Manager will work closely work with internal stakeholders across operations, product, engineering and marketing teams to influence product roadmap as well as support the development of marketing and sales content.

The ideal candidate will bring a unique blend of project management, analytical and marketing/mediaexpertisetogether with the aptitude to think tactically and execute both as an independent contributor and part of a larger team. This role requires client-facing skills and the ability to convey complex concepts in a concise, easy-to-understand manner across stakeholders at various levels and disciplines.

Responsibilities:

• Work with large datasets to support client analytics for client deliverables
• Using data cloud products and data to create new solutions and capabilities
• Work to automate and streamline processes and deliverables to scale value across clients
• Identifying opportunities and offering analytics to the client/client teams with a focus on building and improving business intelligence capabilities
• Partner with product teams to ensure platform capabilities support client requirements and future revenue opportunities

The Ideal candidate will have…

• 1–3 years of experience in a technical, data-driven role focused on analytics, business intelligence, measurement, or automation
• Strong SQL expertise with the ability to write, optimize, and troubleshoot complex queries against large datasets
• Exceptional analytical and problem-solving skills, with the ability to translate complex data into clear, actionable insights
• A proactive, high-ownership mindset with the ability to jump into ad hoc analyses and deliver results in fast-paced environments
• Strong communications skills and the ability to collaborate effectively with both technical and non-technical stakeholders
• Curiosity, adaptability, and a willingness to learn quickly and take on new challenges

Desired

Skills and Experience:

• Hands-on experience using SQL, BI tools, and other programming languages to perform analytics and build scalable reporting solutions
• SQL fluency, translation, and technical writing ability; additional experience working with, analyzing, and writing from scratch large blocks of code
• Experience manipulating, merging, and transforming large datasets to answer sophisticated business questions
• Familiarity with attribution, measurement, experimentation, or marketing analytics concepts
• Experience with ETL processes, workflow automation, or scalable data pipelines
• Experience with Snowflake preferred; AWS or cloud data platform experience is a plus
• Exposure to modeling or data science techniques is a plus, but not required
• Experience partnering with client-facing or cross-functional teams to deliver data products and analytical insights
• Marketing analytics experience (CRM, CDP, digital marketing, lifecycle, or transactional…