Katie J.
About Katie J.
Katie J. is the Head of Data & Analytics at MVF, where she has worked since 2020. With over eight years of experience in data analysis and a strong academic background in Economics, she has held various analytical roles at notable companies including TJX Europe, Skyscanner, and Sainsbury's.
Current Role at MVF
Katie J. serves as the Head of Data & Analytics at MVF, a company recognized as 1st in the Sunday Times Best Companies to Work For. She has held this position since 2020, contributing to the company's data-driven decision-making processes. In her role, she leads a team focused on leveraging data analytics to enhance business performance and drive strategic initiatives.
Previous Experience in Analytics
Katie J. has a diverse background in analytics, having worked in various roles across multiple organizations. She was a Customer Analytics Manager at TJX Europe from 2017 to 2019 and served as an Analytics Manager at Skyscanner for 8 months in 2019. Additionally, she held positions at Moonpig and Sainsbury's, where she gained experience in competitor analysis and retail analytics.
Educational Background and Achievements
Katie J. studied Economics at The University of Birmingham, where she earned a Bachelor of Science (BSc) degree. She achieved the highest overall mark in her year, receiving two Outstanding Academic Achievement awards for her performance. This strong academic foundation has supported her career in data science and analytics.
Technical Skills and Expertise
Katie J. possesses proficiency in various data science tools, including R, Python, and Spark. She is skilled in data visualization using Tableau, Power BI, R Shiny, and Google Data Studio. Her expertise extends to web analytics with Google Analytics and data manipulation using SQL, BigQuery, and Excel. She utilizes statistical methods and machine learning models to derive insights from data.
Team Leadership and Communication
Katie J. has experience in building, developing, and leading teams of analysts. She has over 8 years of experience in analyzing data and effectively communicating recommendations to both technical and non-technical audiences. Her ability to convey complex data insights in an understandable manner has been a key aspect of her professional success.