Associate – Data & Analytics
NYC
Posted on 2/7/2024
Adtheorant

201-500 employees

Machine learning-driven ad targeting platform
Company Overview
AdTheorent distinguishes itself in the digital advertising space by leveraging machine learning to offer predictive targeting and geo-intelligence, which enables the delivery of effective advertising campaigns while maintaining user privacy. Their commitment to data quality and privacy is underscored by the Neutronian NQI Data Quality Certification, ensuring transparency and adherence to high standards. Furthermore, AdTheorent's approach to targeting eschews reliance on cookies, positioning the company well in a market increasingly focused on privacy and the impending obsolescence of cookie-based advertising.
AI & Machine Learning
Data & Analytics

Company Stage

N/A

Total Funding

$126.7M

Founded

2012

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

7%

1 year growth

3%

2 year growth

0%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
SQL
Tableau
Data Analysis
PowerPoint/Keynote/Slides
CategoriesNew
Data & Analytics
Requirements
  • Bachelor's degree in quantitative studies preferred
  • 1-2 years of relevant experience working in a quantitative business environment
  • Understanding of digital advertising landscape
  • Strong project management skills
  • Excellent written and verbal communication skills
  • Advanced Excel and PowerPoint skills
  • Experience with Relational Databases (e.g. – SQL Server) and Business Intelligence tools (e.g. – Tableau)
Responsibilities
  • Self-sufficiently manage reporting responsibilities and analytical projects with guidance from senior team members
  • Provide proactive analytics support to other departments
  • Work with complex data structures and produce easy-to-understand, error-free, and timely deliverables
  • Deliver campaign performance results and presentations to internal stakeholders
  • Work with the VP of Data & Analytics to identify ongoing analytics needs across the company