Data Analyst - Actions Analytics

Zeta Global•New York, NY

70d•$90,000 - $100,000

About The Position

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. Zeta Global is seeking a Data Analyst to join our Actions Account Analytics team, supporting data-driven performance optimization across our agency, lead generation and lead engagement businesses. You will be a key member of a high-impact traditional marketing analytics group to drive scale, efficiency, and innovation across client and internal workflows. This role is ideal for someone who’s equally passionate about hands-on analytics, building scalable AI solutions, and operationalizing insights into production systems.

Requirements

3+ years of experience in analytics, or business intelligence, preferably within Consulting or performance marketing.
Demonstrated experience building or integrating AI-driven analytics processes, such as LLM-assisted analysis, workflow automation, or model-based optimization.
Strong SQL skills (joins, performance optimization).
Exceptional attention-to-detail with the ability to meet aggressive deadlines.
2+ years’ experience with Tableau or similar BI tools (Power BI, Looker).
Proven ability to move AI prototypes into production-ready, repeatable solutions.
Strong presentation and storytelling skills - able to simplify technical analyses for non-technical audiences.
Experience building and polishing PowerPoint presentations, emphasis on storytelling
Bachelor’s or Master’s degree in Analytics, Statistics, Data Science, or a related quantitative field.

Nice To Haves

Understanding of digital marketing performance metrics, lead generation funnels, or campaign optimization principles.
Hands-on experience with APIs, automation frameworks (e.g., Airflow, Prefect, or Zapier), or AI platforms to scale analytics tasks.
Experience with cloud data warehouses (Snowflake, Redshift, BigQuery).
Experience with OpenAI API, Base44, Replit, Vertex AI, or similar platforms.
Familiarity with predictive modeling or machine learning pipelines.
Proficiency in Python (preferred) or R for analytical scripting and automation.
Work experience in Higher Education or Programmatic marketing

Responsibilities

Own end-to-end campaign reporting, performance tracking, and optimization analysis across multiple clients and verticals.
Design testing frameworks, attribution logic, and optimization strategies to enhance ROI and efficiency.
Identify performance trends and uncover opportunities for optimization using statistical, predictive, and AI-driven techniques.
Develop and implement AI-powered automation workflows to improve campaign analysis, reporting, and decision-making.
Collaborate with the Director of Analytics and Engineering teams to productionize AI solutions, including data enrichment, predictive modeling, and insight generation.
Leverage LLMs and generative AI tools to accelerate analysis, content creation, and reporting tasks.
Continuously evaluate and integrate emerging AI technologies that can streamline workflows or enhance analytics capabilities.
Develop, automate, and maintain Tableau dashboards and SQL-based data pipelines that surface real-time insights.
Translate complex datasets into clear, actionable stories that guide business and client decisions.
Support client and leadership meetings with narrative-driven data presentations that connect outcomes to business value.
Collaborate closely with Campaign Management, Sales, Product, and Data Science teams to enhance data accessibility, model performance, and platform automation.
Act as a strategic partner to client success leads, helping define and interpret KPIs and inform campaign strategy.
Work cross-functionally to scale AI tools and workflows across the broader Actions analytics ecosystem.
Improve data processes by designing efficient queries, validating data integrity, and creating scalable reporting solutions.
Contribute to the continuous improvement of our internal analytics tools, automation pipelines, and best practices.