Daniel Mariño
About Daniel Mariño
Daniel Mariño is a Credit Data Analyst at Camino Financial, focusing on providing credit facilities to the underbanked Latino community in the United States. He has extensive experience in data analysis and business intelligence, having worked in various roles across financial institutions and educational institutions in Colombia.
Work at Camino Financial
Daniel Mariño serves as a Credit Data Analyst at Camino Financial, a role he has held since 2021. In this position, he focuses on providing credit facilities to the underbanked Latino community in the United States. His responsibilities include utilizing SQL querying and working with diverse data sources, such as Credit Profile Information and Internal Underwriting Information, to support the company's mission.
Previous Experience in Economic Studies
Before joining Camino Financial, Daniel Mariño gained experience in various roles related to economic analysis. He worked at the National Planning Department (DNP) as a Contratista in the Dirección de Estudios Económicos for four months in 2016. He also served as a Market Risk Analyst at Fondo Latinoamericano de Reservas from 2017 to 2018. Additionally, he held positions at Universidad Nacional de Colombia, including Monitor for Teorías de Comercio Internacional and Asistente de investigación.
Business Intelligence Expertise
Daniel has developed significant expertise in business intelligence throughout his career. He worked as a Business Intelligence Analyst at Banco Davivienda from 2018 to 2019 and later as a Senior Business Intelligence Analyst from 2019 to 2021. In these roles, he developed business intelligence visuals using Qliksense and Plotly libraries, enhancing data-driven decision-making processes.
Educational Background in Economics and Statistics
Daniel Mariño studied at Universidad Nacional de Colombia, where he earned a degree in Economía from 2010 to 2016. He is currently pursuing a Master's degree in Statistics at the same institution, which he began in 2018. His educational background supports his analytical skills and expertise in data analysis.