Business Analyst Intern, NA Integrated Analytics (2027 Summer - New York)

Munich Re · New York, NY · United States

Business Analyst Intern, NA Integrated Analytics (2027 Summer - New York) internship · Data Science & Analytics

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Business Analyst Intern, NA Integrated Analytics (2027 Summer - New York)

internship · Data Science & Analytics

POSITION: Business Analyst Intern, NA Integrated Analytics (2027 Summer – New York)

LOCATION: New York, US

ANTICIPATED START DATE: May 2027

Together, we engage with everything we have and are, to help humankind act braver and better.

As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance.  By turning uncertainty into manageable risk, we enable fundamental change.  We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions.  We dare to think big and are continuously innovating on behalf of our clients.

How can we promote longer and healthier lives? Armed with decades of risk data, novel data sources, and a team of innovative data scientists, engineers, and domain experts, Munich RE is building solutions that are transforming the life insurance industry.


To learn more about the North American Integrated Analytics team, please visit our site:

https://www.munichre.com/us-life/en/digital-solutions.html

Our internships provide you with an excellent opportunity to practically apply your classroom and technical training in the reinsurance industry. While with our team, you’ll be: coached by experienced industry professionals, exposed to Munich Re leadership, challenged as a valuable team member and contributor doing meaningful work, and mentored to develop a solid foundation that will help position you as a future leader in the field.

Position Overview:

Responsibilities may include, but will not be limited to the following:

QUALIFICATIONS:

We’re looking for well-rounded individuals who are technically astute, have strong communication skills, and demonstrate the ability to build positive relationships with internal clients.  We’re seeking energetic and collaborative professionals who are excited to join our winning team and show promise of becoming a future leader in the data science space.

Specifically, we’re looking for the following qualifications:

Technical:

Behavioral:

Preferred (but not required):

Note that this opportunity is open to current students who are returning to in-class studies upon the completion of the internship.

This role will be based in New York, NY. The base range for this internship will be $44 - $54 per hour. The hourly estimate displayed represents the typical hourly range for candidates hired in this position in New York. Factors that may be used to determine your actual rate will include your specific skills, level of schooling, exams, and how many years of experience.

You will be expected to relocate to the greater New York area, to meet our hybrid working model of at least 3 days a week in office. This provides a great opportunity to network, develop soft skills and become immersed within the greater Munich Re culture; including engaging with your team while in-office for face-to-face meetings, sharing meaningful moments, and allocating time to connect with your Manager.

At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest.

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