Advanced Analysis Intern

CSAA Insurance Group, a AAA Insurer•Arizona - Home Teleworkers, AZ

About The Position

CSAA Insurance Group is hiring an Advanced Analysis Intern to support its Data Science & Advanced Analysis team within Personal Lines and Product Management. The intern will provide analytical and statistical insights using data to support strategic projects and gain practical exposure to advanced analytics in insurance product management. The internship is an 11-week summer program emphasizing hands-on learning and immersion in the business. Interns receive professional development, job-specific training, networking opportunities, an assigned mentor, and opportunities to participate in an Intern Innovation Challenge, executive meet and greets, community service, and social activities. The anticipated 2027 internship dates are May 24 through August 6. The role may be remote or hybrid based out of the Phoenix, Arizona office. The anticipated hourly rate is $29.50.

Requirements

  • Be a current undergraduate or graduate student pursuing a quantitative or analytically focused degree.
  • Have authorization to work indefinitely in the United States.
  • Demonstrate an analytical mindset and strong attention to detail.
  • Have strong written or verbal communication skills and the ability to communicate effectively in front of others.

Nice To Haves

  • Be a rising junior or senior, ideally graduating in December 2027 or later.
  • Have an interest in beginning a career focused on statistical analysis.
  • Have previous exposure or experience with coding and/or statistical software.
  • Be energetic, enthusiastic about learning new concepts, self-motivated, results-oriented, and committed to self-development.

Responsibilities

  • Evaluate the impacts of business changes, propose solutions to business challenges, conduct competitive analysis, and forecast revenue.
  • Complete a summer capstone project related to insurance product management using real data, analytical tools, and software, then present the findings to senior management.
  • Develop statistical and analytical skills and business acumen with support from an assigned mentor.
  • Gain exposure to large datasets using SQL and statistical programming languages.
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