Parker Oberg
About Parker Oberg
Parker Oberg is an Analytics Engineer Intern at Health Catalyst, with a background in mathematics and experience in various roles including Direct Support Professional and Human Resources Assistant. He has worked in the healthcare and technology sectors and seeks opportunities in pharmaceuticals, technology, or military fields.
Work at Health Catalyst
Parker Oberg currently serves as an Analytics Engineer Intern at Health Catalyst. He has been in this role since 2021, contributing to projects that leverage data analytics to improve healthcare outcomes. His work involves analyzing healthcare data and supporting the development of analytics solutions that assist healthcare providers in making informed decisions.
Education and Expertise
Parker Oberg graduated with a Bachelor of Science in Mathematics from the University of Utah, completing his studies from 2016 to 2020. He also earned an Associate of Science in Mathematics from Salt Lake Community College between 2016 and 2018. Additionally, he completed a Data Analysis program at Springboard in 2021, which further developed his analytical skills and prepared him for roles in data analytics.
Background
Parker Oberg has a diverse professional background that includes roles in various sectors. He worked as a Direct Support Professional at Columbus Community Center from 2016 to 2018 and served as a Medical Interpreter at the Refugee and Immigrant Center - Asian Association of Utah during the same period. He also spent two years as a missionary in Mexico City, Mexico, from 2014 to 2016.
Previous Work Experience
Before his current position at Health Catalyst, Parker Oberg held several roles that contributed to his professional development. He worked as an Executive Advisor at PillPack from 2018 to 2021 and briefly served as a Human Resources Assistant at Amazon in 2021. His experience spans across healthcare, human resources, and data analytics, providing him with a well-rounded skill set.
Career Aspirations
Parker Oberg seeks to advance his career in the pharmaceutical, technological, or military sectors. His educational background in mathematics and data analysis, combined with his diverse work experience, positions him well for opportunities in these industries, where data-driven decision-making is critical.