Shawn Marsh
About Shawn Marsh
Shawn Marsh serves as the Associate Director of Survey Research at Mathematica, where he has worked since 2015. He has extensive experience in survey research, having previously held positions at the University of Pittsburgh and NORC at the University of Chicago.
Work at Mathematica
Shawn Marsh has served as the Associate Director of Survey Research at Mathematica since 2015. In this role, he manages large-scale data collections and oversees a team of 10 direct reports. His responsibilities include focusing on staff development and client relations, ensuring that the survey research initiatives align with the organization's goals. Additionally, he is involved in business development and innovation, contributing to the advancement of Mathematica's research capabilities.
Previous Experience in Survey Research
Before joining Mathematica, Shawn Marsh held significant positions in survey research. He worked as a Survey Director at Norc At the University of Chicago from 1991 to 1998, where he managed various survey projects. Prior to that, he was a Survey Specialist at the University of Pittsburgh from 1989 to 1992. These roles provided him with extensive experience in survey methodologies and data analysis.
Education and Expertise
Shawn Marsh studied at the University of Pittsburgh, where he earned a Bachelor of Arts degree in Political Science and History. His education laid the foundation for his expertise in survey research and data collection methodologies. He attended the university from 1985 to 1989, gaining knowledge that he has applied throughout his career in various research roles.
Background
Shawn Marsh has a diverse background in survey research, beginning his career in the late 1980s. His early work at the University of Pittsburgh and subsequent roles at Norc At the University of Chicago provided him with a solid grounding in survey techniques. His transition to Mathematica in 2015 marked a significant step in his career, allowing him to leverage his experience in a leadership capacity.