Data Analyst - Modeler

Analytics New York, New York Boston, Massachusetts Tampa, Florida Detroit, Michigan Nashville, Tennessee United States Atlanta, Georgia Minneapolis, Minnesota Dallas, Texas Chicago, Illinois East Lansing, Michigan Washington, DC Charlotte, NC Philadelphia, PA


Zeta Global is looking for a talented Data Analyst to join our Analytics team. Armed with the Advanced Analytics & Data Science skills, this position will be responsible for supporting and improving the quality of our customer acquisition efforts using machine learning, statistics and data wrangling skills. This position will report to a Manager of Analytics.

Key Responsibilities:

  • Predictive/Prescriptive Modeling & Optimization: Develop state-of-the-art predictive and recommender systems that support business objectives.
  • Data Visualization: Support and maintain KPI dashboards using Tableau. Collaborate with internal teams to gather requirements and provide reporting solutions.
  • Support Data Infrastructure: Use scripting languages like Python (Pandas, PySpark and Sci-kit) and MySQL to extract, transform and load data. In addition, support the management of internal data marts.
  • Ad-hoc reporting: Collaborate with cross-departmental teams to drive analyses and insights that lead to insightful decisions and improved financial performance/ROI for the business.


  • You love being a change agent! You tangibly add value for decision makers with actionable insights from data. 
  • Proven ability to implement statistical/machine learning techniques in R / SAS and Python. In addition, ability to disseminate insights using data visualization tools like Tableau. 
  • Exceptional attention-to-detail with the ability to meet aggressive deadlines. We move at a fast pace and generally have 3-5 projects going at any one time. 
  • Excellent story-telling skills. The insights gleaned are no good if you can't present it in an effective and organized fashion. 
  • S. degree in Business Analytics, Data Science or similar quantitative disciplines with 1 year of experience. Bachelor’s degree with minimum 3 years of experience will also be considered. 
  • Strong knowledge of modeling algorithms like randomForest, nnet, svm, and glmnet packages in R and Python.

Desired Skills: 

  • Ability to write complex R, Python and PySpark scripts.
  • Working knowledge with Python NLP packages like Spacy, NLTK and pycorenlp.

Diversity, Equity and Inclusion at Zeta

We are committed to building diverse teams with different identities, backgrounds and perspectives.   

We believe in providing a forum to connect at Zeta, to learn and celebrate differences.   Our mission is to ensure we have an environment that enables a deep level of trust and belonging, so everyone feels invited to bring their whole selves to work, and to increase both diversity at Zeta as well as in the technology industry. 

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individuals sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation or gender identity or expression.


About Zeta Global
Zeta Global is a  data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.


Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm