Gabriela Mata López
About Gabriela Mata López
Gabriela Mata López is an FX Data Analyst currently working at Kantox in Barcelona, Spain. She has extensive experience in data analysis and financial roles across various organizations, including Banco Central de la República Dominicana and Banco Popular Dominicano.
Current Role at Kantox
Gabriela Mata López serves as an FX Data Analyst at Kantox since 2023. In this role, she conducts simulations to compare and stress-test various FX programs, which aids in robust decision-making. Gabriela collaborates closely with the Sales team, providing data-driven insights that enhance consultative sales processes and strengthen client relationships.
Previous Experience in Financial Analysis
Gabriela has extensive experience in financial analysis, having worked at Banco Central de la República Dominicana as a Financial Analyst from 2019 to 2022 and as a Senior Financial Analyst for five months in 2022. She also held the position of Deputy Manager of Marketing Analytics at Banco Popular Dominicano from 2018 to 2019, and worked as a Marketing Data Analyst there from 2017 to 2018.
Education and Academic Background
Gabriela holds a Master of Science in Business Analytics from Esade, which she completed from 2022 to 2023. She also studied at the Indian Institute of Management Bangalore, focusing on Business Statistics and the Science of Data Driven Decision Making. Her undergraduate education includes a Bachelor of Science in Economics from Pontificia Universidad Católica Madre y Maestra, completed from 2013 to 2017.
Early Career and Internships
Gabriela began her career with a Finance Internship at Molinos Modernos in 2014. She also worked as a Marketing Data Analyst at Banco Santa Cruz RD for six months in 2016. Her early experiences laid the groundwork for her subsequent roles in data analysis and financial analytics.
Work Experience in Data Analysis
In 2023, Gabriela worked as a Data Analyst at Vermut for two months in Barcelona. Her role involved developing and refining tools using Python and R to address recurring business case questions, which improved efficiency at Kantox. This experience highlights her proficiency in data analysis and programming.