Daniella Raz
About Daniella Raz
Daniella Raz is a Data Journalist at The Economist in London, England, where she has worked since 2021. She has a diverse background in data science and research, with previous roles at institutions such as the University of Washington, Google, and the University of Michigan.
Work at The Economist
Daniella Raz has been employed as a Data Journalist at The Economist since 2021. In this role, she focuses on analyzing and interpreting data to contribute to the publication's reporting and storytelling. Her work involves utilizing data visualization techniques and statistical analysis to enhance the understanding of complex issues. Based in London, England, she has been part of the team for three years.
Education and Expertise
Daniella Raz holds a Master of Science degree from the University of Michigan - School of Information, which she completed from 2018 to 2020. Her academic background also includes a Bachelor's Degree from the University of Michigan, where she studied Arabic & Islamic Studies (High Honors) and Political Science, with a minor in Applied Statistics. Additionally, she studied Modern Standard Arabic and Colloquial Palestinian Arabic at The Hebrew University for 11 months in 2013.
Previous Work Experience
Prior to her current position, Daniella Raz worked in various roles that contributed to her expertise in data journalism. She served as a Data Science for Social Good Fellow at the University of Washington eScience Institute for two months in 2019. She also interned at Google in Dublin, Ireland, for two months in 2018. Her experience includes working as a Graduate Student Instructor at the University of Michigan from 2018 to 2020 and as a Research Analyst at the University of Michigan Institute for Social Research from 2016 to 2018.
Research and Academic Contributions
Daniella Raz has contributed to academic research through her roles as a Research Assistant at Harvard Kennedy School for three months in 2016 and as a Research Analyst at the University of Michigan Institute for Social Research from 2016 to 2018. These positions involved supporting research projects and data analysis, enhancing her skills in data interpretation and application in social contexts.