Ryan Mc Inerney
About Ryan Mc Inerney
Ryan Mc Inerney is a Health Survey Analyst at Mathematica Policy Research, where he has worked since 2015. He holds a BA in History and Business from Loyola College in Maryland and has a strong background in data analysis and project management.
Work at Mathematica Policy Research
Ryan Mc Inerney has been employed at Mathematica Policy Research since 2015, serving as a Health Survey Analyst. In this role, he has accumulated nine years of experience in survey analysis. Prior to his current position, he worked as a Survey Associate at the same organization from 2012 to 2015. His responsibilities include data analysis, project management, and research, contributing to the organization's mission of providing high-quality research and analysis.
Education and Expertise
Ryan Mc Inerney holds a Bachelor of Arts degree from Loyola University in Maryland, where he studied History and Business from 2007 to 2011. His educational background provides a foundation for his work in the research industry, particularly in survey analysis. He has developed a strong skill set in data analysis, editing, project management, and recruitment, which supports his current role at Mathematica.
Background
Ryan Mc Inerney completed his secondary education at Notre Dame High School from 2003 to 2007. Following high school, he pursued higher education at Loyola University in Maryland, where he earned his BA. Prior to his tenure at Mathematica, he gained experience through internships, including a position with the State of New Jersey's Office of Constituent Relations in 2010 and with the Baltimore City Commission for Historical and Architectural Preservation in 2009.
Professional Experience
Before his current role as a Health Survey Analyst, Ryan Mc Inerney worked as a Survey Associate at Mathematica Policy Research from 2012 to 2015. His internships in 2009 and 2010 provided him with valuable experience in research and constituent relations, further enhancing his skills in the field. His career trajectory reflects a consistent focus on operations and research within the survey analysis domain.