Paula Barmaimon

Paula Barmaimon

Manager, Coverage And Audience Analytics @ The New York Times

About Paula Barmaimon

Paula Barmaimon is a Manager of Coverage and Audience Analytics at The New York Times, where she has worked since 2022. She holds a Master's degree in Information Science from Technion - Israel Institute of Technology and has experience in marketing analysis and data science.

Current Role at The New York Times

Paula Barmaimon serves as the Manager of Coverage and Audience Analytics at The New York Times. She has held this position since 2022, overseeing analytics related to audience engagement and content coverage. Her role involves analyzing data to enhance audience understanding and improve content strategies.

Previous Experience at The New York Times

Before her current role, Paula worked as a Senior Analyst in Coverage and Audience Analytics at The New York Times from 2020 to 2022. In this capacity, she contributed to audience analysis and content performance, helping to inform editorial decisions based on data insights.

Work Experience at Wix.com

Paula Barmaimon worked at Wix.com as a Marketing Analyst from 2015 to 2018. Her responsibilities included analyzing marketing data to drive strategic decisions. Prior to this role, she served as an Account Manager at Wix.com from 2014 to 2015, where she managed client accounts and supported marketing initiatives.

Educational Background

Paula Barmaimon holds a Master of Science in Information Science with a specialization in Computer Science from Technion - Israel Institute of Technology, completed between 2018 and 2020. She also studied at Cornell University, earning a Master of Science in Information Systems during the same period. Additionally, she has a Bachelor of Science in Civil and Environmental Engineering from Technion, completed in 2014.

Internship Experience

In 2019, Paula completed a Data Science Internship at WeWork for two months. This experience allowed her to apply her analytical skills in a practical setting, contributing to data-driven projects within the company.

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