Katie Kauffman
About Katie Kauffman
Katie Kauffman is a Global HCM Reporting and Data Analyst at Catholic Relief Services, where she has worked since 2020. She has a diverse background in education and consulting, with previous roles including English language instructor and PeopleSoft consultant.
Work at Catholic Relief Services
Katie Kauffman has been employed at Catholic Relief Services since 2020, where she serves as a Global HCM Reporting and Data Analyst. In this role, she is responsible for analyzing human capital management data and reporting, contributing to the organization's operational efficiency. Her tenure at Catholic Relief Services spans four years, during which she has engaged in various data-driven initiatives to support the organization's mission.
Previous Experience in Consulting
Prior to her current position, Katie Kauffman worked at EMS Consulting as a PeopleSoft Campus Solutions SEVIS Implementation Consultant from 2007 to 2008. In this role, she focused on implementing SEVIS compliance solutions for educational institutions, enhancing their ability to manage international student data effectively. This experience provided her with valuable insights into data management and regulatory compliance.
Background in Education
Katie Kauffman has a strong background in education, having served as an English Language Instructor and mentor at Instituto Guatemalteco Americano (IGA) from 1994 to 1995. Additionally, she worked at the Community College of Baltimore County as an English Language Instructor from 1997 to 1998. These roles allowed her to develop her teaching skills and mentor students in language acquisition.
Educational Qualifications
Katie Kauffman earned a Bachelor of Arts degree from Dickinson College, completing her studies from 1990 to 1994. She later pursued a Master of Arts degree at the University of Maryland Baltimore County, which she completed from 1996 to 1999. Her educational background has equipped her with a solid foundation for her professional endeavors in both education and data analysis.