As a Senior Financial Analyst at CNA Insurance within the Long Term Care division, I play a pivotal role in financial management and analysis. My responsibilities encompass a broad spectrum, including conducting in-depth financial modeling and forecasting to support strategic decision-making. I actively collaborate with cross-functional teams to analyze and interpret financial data, providing valuable insights into the Long Term Care division's performance. My role involves monitoring key financial metrics, assessing risk, and implementing effective financial controls. Additionally, I contribute to budgeting processes, ensuring alignment with organizational objectives. Through my expertise, I enhance financial reporting accuracy, enabling the company to make informed and sound financial decisions within the dynamic landscape of the insurance industry.As a Senior Business Operations Analyst at Medline, I use data analytics and statistical modeling to build reports, deliver insights, and create visualizations that support the Post-Acute division. I work closely with stakeholders and programming teams to determine requirements for new and existing systems, ensuring efficient development and maximum usability. I also manage and maintain millions of item data and serve as a point of contact for hundreds of sales reps for any data needs.Before joining Medline, I was a Financial Analyst at Lakeshore Title Agency, where I collected, organized, and analyzed financial data using various statistical methods and tools. I developed financial models and used techniques such as regression analysis, time series analysis, and Monte Carlo simulations to forecast future financial performance and assess risks. Additionally, I gained experience in data entry and software skills at Drost Kivlahan McMahon & O’Connor LLC, where I generated property contracts and communicated with customers and government offices.I have a Bachelor of Science in Business Analytics from The University of Kansas School of Business, where I learned how to apply data-driven decision making and problem solving to various business scenarios. I am proficient in a variety of statistical software, such as SQL, Python, Tableau, Power BI, R, and more. I pride myself on being able to pick up new things quickly, as well as my communication skills, both verbal and written. I am driven and self-directed, and I value collaboration and contribution to the team and the organization.
Listed skills include Legal Document Preparation, Presentation Skills, R, Sharepoint, and 22 others.
