Daniel Azpurua
About Daniel Azpurua
Daniel Azpurua serves as the Research Panel and Sampling Manager and Operations Analyst at Collage Group in Bethesda, Maryland, where he has worked since 2017. He holds a Bachelor's degree in Business Administration with a focus on Finance from the University of Florida and has experience in various roles related to research and data analysis.
Work at Collage Group
Daniel Azpurua has been employed at Collage Group since 2017, serving as the Research Panel and Sampling Manager and Operations Analyst. His role involves managing research panels and sampling operations, focusing on leveraging data to provide insights that support business decisions. Based in Bethesda, Maryland, he has accumulated over seven years of experience in this position, contributing to the organization’s data-driven strategies.
Previous Work Experience
Prior to his current role, Daniel Azpurua held various positions that contributed to his expertise in data management and analysis. He worked as a Field Representative Intern at Northwestern Mutual for one month in 2015. He also served as a Target Mobile Specialist at Marketsource Inc. for four months in 2014. Additionally, he worked as a Bartender at Hippodrome Theatre from 2015 to 2016. Before joining Collage Group, he was the Research Panel and Sampling Manager at Latinum Network for five months in 2017.
Education and Expertise
Daniel Azpurua has a diverse educational background. He studied Computer Programming and Business at Atlantic Technical College from 2008 to 2010. He then attended Broward College for one year before transferring to the University of Florida, where he earned a Bachelor’s degree in Business Administration with a focus on Finance from 2010 to 2016. His education has equipped him with the skills necessary to analyze big data and optimize business processes.
Passion for Big Data
Daniel Azpurua has a strong interest in working with Big Data, viewing it as an opportunity to innovate and derive unique insights. He focuses on identifying efficiencies and optimizing business processes through data analysis. His aim is to leverage competitive advantages for large corporations, utilizing data to enhance decision-making and operational effectiveness.