Brea Beals
About Brea Beals
Brea Beals is an Analyst I at Enova International in Chicago, Illinois, with a background in mathematics and education. She has experience as a Mathematics Research Assistant and Instructor, and holds a Master of Science in Analytics from the University of Chicago.
Current Role at Enova International
Brea Beals holds the position of Analyst I at Enova International, where she has been employed since 2021. Located in Chicago, Illinois, she has accumulated three years of experience in this role. Her responsibilities likely involve data analysis and providing insights to support business decisions, leveraging her background in analytics.
Previous Experience in Education
Brea Beals has a substantial background in education, having worked as a Mathematics Instructor at Noble Network of Charter Schools from 2015 to 2019. In this role, she spent four years teaching high school mathematics in the Englewood community of Chicago. Additionally, she served as the 11th Grade Department Lead for four months in 2019, further demonstrating her leadership capabilities in an educational setting.
Early Career and Research Experience
Brea Beals began her career as a Mathematics Research Assistant at Grand Valley State University in 2014, where she worked for three months. This early experience contributed to her understanding of mathematical concepts and research methodologies. She also completed a two-month internship as an Analytics Intern at Enova International in 2020, gaining practical experience in the analytics field.
Educational Background
Brea Beals holds a Master of Science (MS) in Analytics from the University of Chicago, where she studied from 2019 to 2021. Prior to that, she earned a Bachelor of Science (B.S.) in Mathematics and Education from Grand Valley State University, completing her studies from 2012 to 2015. Her academic background provides her with a strong foundation in both mathematics and analytics.
Career Aspirations
Brea Beals aspires to become a data scientist, aiming to leverage her strong foundation in analytics and mathematics. Her educational background and professional experience position her well to pursue this goal, as she seeks to apply her skills in data analysis and problem-solving within the field.