About Us: Recognized as the trusted source for industry knowledge, LIMRA and LOMA provides research, training, development, and networking solutions to financial services companies. In a rapidly changing marketplace, companies rely on us for our industry insight, practical solutions, and unwavering commitment to their success.
Why Join Us: Leading life insurance and financial services organizations around the world rely on our membership to make bottom-line decisions with greater confidence. They turn to us for:
- Research: Catalysts for new ideas, industry benchmarking, and strategic planning.
- Learning & Development: Programs to assess, train, and increase productivity, and develop future corporate leaders.
- Networking: Connections with industry leaders and peers through study groups, committees, and conferences.
The Opportunity: We are seeking a currently enrolled college or university student to join the Research Data Services department as a Data Analyst Intern. This is a temporary, part-time hybrid internship designed to provide hands-on professional experience while completing your degree. This position is not a regular full-time opportunity. In this role, you will work closely with LIMRA’s data analysts and researchers on data exploration, validation, editing, analysis, and visualization. Responsibilities include understanding the business requirements of each project, selecting the appropriate analytical tools, and applying the established best practices to your work. In addition, you may act as a liaison to researchers to provide production support for various benchmark studies, including maintaining various research databases and visualization dashboards. This position is ideal for you if you're interested in furthering your technical skills and working with industry thought leaders, data experts, and cutting-edge technologies. In addition, you will also have the opportunity to do the following:
- Assist in collecting, cleaning, and organizing data from various sources.
- Build and maintain robust programs in R or Python to streamline manual data processes.
- Perform data validation and ensure data integrity and accuracy.
- Build and improve interactive dashboards in Tableau.
- Serve as technical support responsible for ad hoc data requests.
- Perform other analytical duties a