Richard Di Donato
About Richard Di Donato
Richard Di Donato is a Senior Marketing Analytics Manager at Sallie Mae, where he has worked since 2020. He has a background in quantitative analysis and marketing analytics, with experience in data visualization and big data tools.
Current Role at Sallie Mae
Richard Di Donato serves as the Senior Marketing Analytics Manager at Sallie Mae, a position he has held since 2020. In this role, he focuses on creating data visualizations using SAS Visual Analytics and Tableau. His responsibilities include analyzing marketing data to support decision-making processes and improve marketing strategies. He has developed strong communication and presentation skills, which he utilizes to explain complex analyses to stakeholders.
Previous Experience at Sallie Mae
Prior to his current role, Richard worked at Sallie Mae as a Marketing Analytics Manager from 2018 to 2020. During this time, he contributed to marketing initiatives by leveraging data analytics to drive insights and strategies. His experience at Sallie Mae has been instrumental in shaping his expertise in marketing analytics.
Professional Background
Richard has a diverse professional background in analytics and management. He worked as an Intermediate Quantitative Analyst at OneMain Financial from 2017 to 2018, and as a Project Specialist at Bracket from 2012 to 2014. Additionally, he served as an Assistant Store Manager at TD for six years, from 2005 to 2011. His role as a Predictive Modeler I at Transamerica from 2014 to 2017 further solidified his analytical skills.
Education and Expertise
Richard holds a Master of Science (MS) in Applied Statistics from West Chester University of Pennsylvania, where he studied from 2010 to 2012. He also earned a Bachelor of Science (BS) in Mathematics from Cabrini College, completing his degree from 2003 to 2007. His educational background provides a strong foundation for his expertise in data analysis, consumer segmentation, and text analytics.
Technical Skills and Tools
Richard possesses extensive technical skills in data analysis and visualization. He utilizes tools such as SAS, R, Impala, and SQL to query large databases and create datasets. His experience with Big Data tools, including H2O, Informatica, and Datameer, allows him to analyze data within Hadoop file structures. He has a strong interest in consumer segmentation and text analytics, which he applies in his current role.