Hayley Knight
About Hayley Knight
Hayley Knight is a Senior Analytics Engineer at MVF, where she has worked since 2022. She has a background in data analytics and engineering, with previous roles at Redkite, Pollen, and Simba Sleep, and holds a Master's degree in Philosophy from the University of Kent.
Work at MVF
Hayley Knight has been employed at MVF as a Senior Analytics Engineer since 2022. MVF is recognized as the 1st in the Sunday Times Best Companies to Work For. In her role, she focuses on creating custom metrics to address complex challenges in data engineering. Her expertise includes utilizing SQL and dbt to transform raw data into accessible data products.
Previous Employment Experience
Before joining MVF, Hayley Knight worked at several organizations in various analytics roles. She served as a BI & Analytics professional at Redkite from 2019 to 2021. Following that, she worked as an Analytics Engineer at Pollen for one year, from 2021 to 2022. Additionally, she held a position as a BI Analyst at Patch UK for three months in 2019. Earlier in her career, she was a Junior Data Analyst at Simba Sleep from 2018 to 2019 and worked in customer care at A1WebStats from 2015 to 2017.
Education and Expertise
Hayley Knight holds a Master's degree in Philosophy from the University of Kent, where she studied from 2017 to 2020. Her academic background includes a deep interest in existentialism and transhumanism. This philosophical foundation complements her technical skills in data analytics and engineering, where she explores the impact of systems on human behavior.
Volunteer Experience
In 2015, Hayley Knight volunteered for three months at Oxfam in Canterbury, United Kingdom. This experience contributed to her understanding of social issues and provided her with practical skills in a community-focused environment.
Technical Skills and Interests
Hayley Knight has developed a strong skill set in data engineering, particularly in creating custom metrics and transforming raw data into usable formats. She is self-teaching Python in her spare time and has a keen interest in machine learning, which enhances her capabilities in analytics and data science.