For more than a century, LIMRA and LOMA have served as the largest trade association supporting the insurance and related financial services industry. Today, we’re working with over 700 member companies around the world to help them understand industry trends, inform their strategies, develop their talent, and create solutions that advance the industry. Companies come to us because no other organization is in a better position to help them understand their customers, markets, distribution channels, and competitors. Leading life insurance and financial services organizations around the world rely on their membership for one simple reason – they can make bottom-line decisions with greater confidence.

As an employer, we believe that greatness is built from the inside out. It is created by individuals who share common goals, and who support and rely on one another to achieve them. Our core values (Integrity, Customer Focus, Adaptability, Respect and Excellence) guide us in how we treat, respond to and interact with our customers, and one another. We do our best to support our employees in making the most of their lives both inside and outside of work.
 

LIMRA/LOMA is looking for Data Analyst Intern to join the Research Data Services department. This position is a full-time hybrid position.  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, working with a senior data analyst to select the appropriate analytical tools, and applying established best practices to your work. In addition, you work under the direction of a senior analyst to provide data analytic 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 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.
• Provide technical support responsible for ad hoc data requests.
• Perform other analytical duties as needed.

What you will need to succeed:
 

• Current enrollment in a Bachelor’s degree program (junior or senior year) or recent graduate with a Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Actuarial Science, or a related STEM field.
• Basic knowledge of programming concepts and basic statistical measures.
• Basic knowledge of R, Python, SQL, SAS or other similar coding language.
• Experience in Microsoft Office and basic knowledge of Excel.
• Strong analytical and organizational skills.
• Good written and oral communication skills.

Preferred Qualifications
 

• Experience manipulating large datasets using SQL or SAS.
• Familiarity with data visualization tools like Tableau, Power BI, or similar.

We are an Equal Opportunity employer and do not discriminate on the basis of race, ancestry, color, religion, sex, age, marital status, sexual orientation, national origin, medical condition, disability, veteran status, or any other basis protected by law.

This Employer Participates in E-Verify. See the E-Verify notices.

Este Empleador Participa en E-Verify. Ver el E-Verify avisos.