Sean Adamcik
About Sean Adamcik
Sean Adamcik is a Senior Financial Analyst at NYU Langone Health, with extensive experience in financial analysis and educational roles. He holds a Master's degree in Business Administration and Data Analytics from Thomas Edison State University.
Title and Current Position
Sean Adamcik is a Senior Financial Analyst at NYU Langone Health. He has been in this role since 2021, operating in the New York City Metropolitan Area. His primary responsibilities include financial planning, budget analysis, and variance analysis. He works with the Perlmutter Cancer Center, contributing to financial decision-making and strategic planning.
Previous Roles and Experience
Before joining NYU Langone Health, Sean Adamcik worked as a Financial Analyst at Rutgers Cancer Institute of New Jersey from 2019 to 2021. He also held various positions in the educational sector, including Student Services Generalist at Union County College (2016-2019), Educational Coordinator at Jersey College (2015-2016), Teacher at Huntington Learning Center (2015), Substitute Teacher at Lawrenceville High School (2014-2015), Instructional Assistant at Robbinsville Middle School (2014-2015), and Home Instruction Tutor at Lawrenceville High School (2014-2015).
Education and Academic Background
Sean Adamcik holds a Master's degree in Business Administration and Data Analytics from Thomas Edison State University, where he studied from 2018 to 2020. He earned two Bachelor's degrees from The College of New Jersey: one in Secondary Education and Teaching, and another in History, both completed between 2010 and 2014.
Financial and Analytical Expertise
In his role as a Senior Financial Analyst, Sean Adamcik leverages his expertise in statistical analysis to improve financial decision-making in the healthcare sector. His advanced skills in Microsoft Excel are instrumental in streamlining data analysis and reporting. This competency has been particularly beneficial in his work with the Perlmutter Cancer Center, where he focuses on budget vs actuals and variance analysis.