LIMRA and LOMA are committed to creating an inclusive workplace. Our commitment to diversity, equity, and inclusion extends to hiring individuals with unique perspectives and backgrounds. The range of experiences and viewpoints that our employees bring to work every day is a vital part of how we help members navigate with confidence.

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.
 

Are you looking to join an organization whose mission is to advance the financial services industry by empowering our members with knowledge, insights, connections and solutions? If so, LIMRA and LOMA, the world’s largest association of life insurance and financial services companies, which represents 1,100 member companies in 71 countries, including most of the world’s largest life insurance and retirement companies is the organization for you!

LIMRA/LOMA is looking for an Associate Data Analyst to join the Research Data Services group. This position is an entry level, 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, 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:

• Serve as data analyst responsible for data preparation, analysis, and reporting for research projects
• Serve as technical support responsible for ad hoc data requests
• Build and maintain robust programs in R or Python to streamline manual data processes
• Create data visualizations
• Maintain research databases in SAS/SQL
• Perform other analytical duties as needed

What you will need to succeed:

Bachelor's degree
Experience in Microsoft Excel and basic knowledge or exposure to VBA

Basic knowledge of statistical measures and techniques
Basic knowledge of any of the following:   R, Python, Tableau or other data visualization tools

Strong analytical and organizational skills
Good written and oral communication skills

Preferred Qualifications

Exposure to life and/or health insurance industry

Experience manipulating large datasets using SQL or SAS

Who we are:

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.

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.

Additional Information for you to know

Diversity and Inclusion

LIMRA and LOMA are committed to creating an inclusive workplace. Our commitment to diversity, equity, and inclusion extends to hiring individuals with unique perspectives and backgrounds. The range of experiences and viewpoints that our employees bring to work every day is a vital part of how we help members navigate with confidence.

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.

 

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