Zoë Markovits

Data Analyst, Data & Insights Group @ The New York Times

About Zoë Markovits

Zoë Markovits is a Data Analyst in the Data & Insights Group at The New York Times, where she has worked since 2022. She previously held positions at Adweek and Metis, and earned her Master's degree in Data Science from The Graduate Center, City University of New York.

Current Role at The New York Times

Zoë Markovits currently serves as a Data Analyst in the Data & Insights Group at The New York Times. She has been in this role since 2022 and has contributed to various projects that focus on analyzing large datasets to derive actionable insights. Her work involves participating in cross-functional teams aimed at enhancing data-driven decision-making processes within the organization. Markovits utilizes advanced data analysis techniques to support the objectives of the Data & Insights Group.

Previous Experience at Adweek

Prior to her current position, Markovits worked at Adweek as a Data Analyst from 2020 to 2022. In this role, she focused on data analysis for two years. She also held the position of Audience Development Intern at Adweek for four months in 2020, where she gained experience in audience engagement strategies. Her tenure at Adweek provided her with foundational skills in data analysis and audience development.

Educational Background in Data Science

Markovits earned her Master's degree in Data Science from The Graduate Center, City University of New York, completing her studies from 2019 to 2020. This program equipped her with the necessary skills and knowledge to excel in data analysis. Additionally, she holds a Bachelor's degree in Psychology and Statistics from the University of Rochester, where she studied from 2012 to 2016. Her educational background supports her analytical capabilities in her professional roles.

Data Science Training at Metis

In 2017, Markovits participated in a Data Science program at Metis, where she was a Data Science Student for five months. This training provided her with practical skills in data science methodologies and tools, further enhancing her analytical expertise. The experience at Metis contributed to her qualifications for future roles in data analysis.

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