Daniel Merino
About Daniel Merino
Daniel Merino is a Business Intelligence Developer with extensive experience in data analysis and management across various industries. He has held positions at companies such as Zimmerman Advertising, Royal Caribbean Cruises Ltd., and REEF, and possesses expertise in tools like Tableau, Microsoft Power BI, and programming languages including SQL and Python.
Current Role at REEF
Daniel Merino currently serves as a Business Intelligence Developer at REEF, a position he has held since 2021. Based in Miami, Florida, he focuses on enhancing data-driven decision-making processes within the organization. His role involves utilizing advanced data visualization tools and analytics to support business strategies and operational efficiency.
Previous Experience in Business Intelligence
Before joining REEF, Daniel worked as a Business Intelligence Analyst at Zimmerman Advertising from 2020 to 2021. He also held a similar position at Royal Caribbean Cruises Ltd. from 2019 to 2020. In these roles, he contributed to the development of data integrity strategies and analytics solutions tailored to the needs of the advertising and cruise industries.
Educational Background in Information Technology
Daniel earned his Bachelor’s Degree in Information Technology from Florida International University, completing his studies from 2007 to 2012. This educational foundation equipped him with essential skills in data management and analytics, which he applies in his professional career.
Specialization and Skills
Daniel specializes in supporting financial and data integrity strategies across various sectors, including retail, wholesale, production, and cruise industries. He has hands-on experience with analytics and database management tools such as Adobe Analytics and Google Analytics. His proficiency extends to advanced data visualization tools like Tableau and Microsoft Power BI.
Technical Expertise in Programming Languages
Daniel possesses expertise in several programming languages and tools, including SQL, SAS, R, Python, and Java. This technical skill set enables him to analyze complex data sets and develop robust data solutions that meet organizational needs.