Katerin Ayala
About Katerin Ayala
Katerin Ayala is a Power BI Developer at Future Anthem in London, with experience in consulting across various sectors including Engineering, Retail, and Oil & Gas. She has a strong background in data analysis and business intelligence, supported by her educational qualifications in Data Science and Statistics.
Work at Future Anthem
Katerin Ayala has been employed at Future Anthem as a Power BI Developer since 2023. She works in a hybrid model from London, England, United Kingdom. In her role, she focuses on developing and implementing Power BI solutions to enhance data visualization and reporting capabilities.
Previous Experience in Business Intelligence
Before joining Future Anthem, Katerin Ayala worked at GEA Group in various capacities. She served as a Business Intelligence Manager's Assistant from 2020 to 2021, where she supported BI initiatives remotely from Bogotá, Colombia. In 2022, she transitioned to the role of Power BI Programmer at GEA Group, continuing her work in the field of business intelligence while based in England.
Data Analysis Background
Katerin Ayala began her career as a Data Analyst at Makro Colombia from 2019 to 2020. In this position, she gained experience in data analysis and reporting. She also completed an internship in the Trading Area at ESENTTIA Colombia and worked as a Statistical Associate at KPMG in Colombia, both roles contributing to her analytical skills.
Education and Expertise
Katerin Ayala holds a Master of Science in Data Science from the University of East Anglia, which she completed from 2021 to 2022. She also earned a Bachelor of Science in Statistics from Universidad Nacional de Colombia between 2013 and 2019. Additionally, she studied Actuarial Science at Universidad Anáhuac and attended the University of Washington for further studies in 2016.
Skills and Professional Focus
Katerin Ayala possesses strong skills in structured planning and analytical problem-solving. She reports directly to C-Level Executives, focusing on KPI identification and process monitoring. Her passion lies in exploring and analyzing data to address complex problems, utilizing new techniques and programming languages in her work.