Margaret Ott
About Margaret Ott
Margaret Ott is a Senior Applied Data Engineer at Civis Analytics, where she leads a team to develop data solutions for clients. With eight years of experience in data engineering, she has previously worked at TicketNetwork, UPS, and Yale University.
Work at Civis Analytics
Margaret Ott serves as a Senior Applied Data Engineer at Civis Analytics, a position she has held since 2021. In this role, she leads a team of data engineers and data scientists, focusing on developing data solutions tailored to client needs. Her responsibilities include overseeing project execution and ensuring the delivery of high-quality data products.
Previous Experience in Data Engineering
Prior to her current role, Margaret worked at UPS as a Digital Marketing Data Engineer from 2018 to 2021. During her time there, she contributed to data-driven marketing strategies. Before that, she was a Data Engineer at TicketNetwork from 2017 to 2018, where she gained experience in data management and analysis. Margaret also held a position as a Junior Software Engineer at TicketNetwork for seven months in 2016.
Education and Expertise
Margaret Ott holds a Bachelor’s Degree in Linguistics from Yale University. She also completed her high school education at The Westminster Schools. Her academic background supports her analytical skills and understanding of data structures, which she applies in her engineering roles.
Background in Programming and Tutoring
Margaret has a background in programming, having worked as a Peer Tutor for Intro to Programming at Yale University from 2014 to 2016. This role allowed her to assist fellow students in developing their programming skills. Additionally, she gained practical experience as a Web Development Intern at My Best Plan in 2014.
Focus on Inclusion and Maintenance Reduction
In her professional work, Margaret emphasizes the importance of inclusion and aims to reduce maintenance load in data engineering processes. This focus reflects her commitment to creating efficient and accessible data solutions.