Andrew Mariotti
About Andrew Mariotti
Andrew Mariotti is a Human Capital Analytics Analyst at Fannie Mae and a Senior Survey Researcher at the Ethics & Compliance Initiative, with over 15 years of experience in research analysis.
Title and Current Roles
Andrew Mariotti holds the title of Human Capital Analytics Analyst and currently serves as a Senior Survey Researcher at the Ethics & Compliance Initiative (ECI). Concurrently, he is employed at Fannie Mae in Washington D.C. Metro Area, also as a Human Capital Analytics Analyst.
Professional Experience at SHRM
Andrew Mariotti worked at the Society for Human Resource Management (SHRM) as a Senior Researcher from 2006 to 2018. During his 12-year tenure in Alexandria, VA, he was involved in extensive research, contributing valuable insights to the HR field and supporting various research projects.
Educational Background
Andrew Mariotti holds a Master of Arts (MA) in Mental Health Counseling from The George Washington University, where he studied from 2001 to 2004. Additionally, he earned dual Bachelor of Arts (BA) degrees in Psychology and Music from the University of Maryland, graduating in 2000 after studying from 1995 to 2000.
Early Career and Roles
Andrew Mariotti began his career at The Psychiatric Institute of Washington as a Counselor Intern from 2002 to 2003. He furthered his experience as a Research Associate at The George Washington University - Graduate School of Education and Human Development from 2001 to 2004. He also worked as a Research Analyst at JBS International, Inc. from 2004 to 2006.
Research and Analytical Skills
With over 15 years of experience in research analysis, Andrew Mariotti specializes in both qualitative and quantitative research methodologies. He has expertise in developing and managing research databases, facilitating experimental sessions and focus groups, and performing transcription and coding duties. His skill set includes developing comprehensive research reports, conducting basic descriptive statistics, correlation and regression analysis, factor analysis, and longitudinal tracking.