St Paul, Minnesota, United States
♦ Manage and reconcile daily cash for large loan portfolios ($300M–$1B+), ensuring accuracy across systems and high-volume investor transactions. ♦ Extract and analyze data from complex legal documents (CLOs, bonds, loan agreements) to maintain reliable database records. ♦ Execute loan fundings and security payments in compliance with requirements, deliver timely monthly cash reports and quarterly waterfall analyses.
♦ Maintain accurate student records and streamlined application processing using Salesforce CRM, enhancing data integrity and operational efficiency. ♦ Use Cascade CMS to create, manage, and publish content on the institution’s website while ensuring consistency, branding, and accessibility across the site. ♦ Completed Salesforce Report Writing and Data Cookbook trainings for data analysis, reporting, and dashboard-building capabilities.
♦ Generate weekly, monthly, and quarterly reports for district leadership data needs; run and automate periodic reports for data needs using internal queries and SQL. ♦ Manage and update the student information system to ensure accurate, complete, and compliant records, collaborating with MARSS and Enrollment staff while ensuring compliance with Ed Fi and MARSS standards. ♦ Complete CRDC federal reporting, and assist with STAR, MCCC, DIRS, and other state reports.
♦ Supported and worked with a diverse customer base and their requests from across the University community and beyond. ♦ Executed administrative duties including project-based support and maintaining the flow of appointments. ♦ Performed data intergration, management, and quality assurance tasks as needed by the Global Learning and Strategy departments: International Admissions, Office of International Students & Scholars, and Office of Study Abroad.
♦ Acted as a positive role model and resource to new students and their guests/families. ♦ Guided new students through their summer Orientation and Registration (O&R) transition. ♦ Build a working knowledge of the campus and community support services available to students and their guests/families.
♦ Conducted an empirical study of wage disparities among sexual orientations by constructing a regression analysis on a large dataset from the General Social Survey (2018). ♦ Created an econometric model with income as the dependent variable and demographic characteristics as explanatory variables. ♦ Performed hypothesis testing using STATA to examine the quantitative effect of sexual orientation on personal income - heterosexuals have higher average earnings by 23%, when compared to those who didn’t identify with this group.