Kaitlyn Smith
About Kaitlyn Smith
Kaitlyn Smith is a Senior Research Analyst at SAIF Corporation in Salem, Oregon, with expertise in SAS Visual Analytics and data validation. She has a strong background in the insurance industry, having held various roles at SAIF Corporation since 2016 and previously worked in finance and accounting.
Work at SAIF Corporation
Kaitlyn Smith has been employed at SAIF Corporation since 2021, serving as a Senior Research Analyst. In this role, she focuses on data quality and validation, utilizing her skills in SAS Visual Analytics and Enterprise Guide. Prior to her current position, she worked as a Data Analyst from 2018 to 2021 and as an Investigations Specialist from 2016 to 2018, both roles contributing to her extensive experience in the insurance industry.
Education and Expertise
Kaitlyn Smith holds two Bachelor of Science degrees from Oregon State University, one in Finance and the other in Business Administration - Management. She completed her studies from 2005 to 2011, which provided her with a solid foundation in financial principles and management practices. Her educational background supports her expertise in data analytics, particularly within the insurance sector.
Background in Data Analytics
Kaitlyn Smith has a demonstrated history of working in data analytics, particularly in the insurance industry. Her roles at SAIF Corporation have allowed her to develop specialized skills in data quality and validation. Prior to her tenure at SAIF, she gained experience as a Cost Accountant at NORPAC FOODS Inc. and as a Finance Administrator at Oregon Pallet Repair, Inc., further enhancing her analytical capabilities.
Professional Experience
Kaitlyn Smith's professional experience spans various roles within the insurance and finance sectors. She began her career as a Cost Accountant at NORPAC FOODS Inc. from 2012 to 2014, followed by a position as Finance Administrator at Oregon Pallet Repair, Inc. from 2014 to 2015. Her subsequent roles at SAIF Corporation have solidified her expertise in data analytics and validation.