search | Life Insurance Analyst in New Haven, CT

Life Insurance Analyst

  • NESCO Resource
  • $127,380.00 - 127,380.00 / Year *
  • 59 Wall St
  • New Haven, CT 06540
  • Full-Time



Job Summary:
Responds to a wide range of phone and email inquiries utilizing all information systems data as appropriate and within guidelines. At all times, maintains professional, courteous and positive image to reflect positively on the image and business operations of the Company.

Job Responsibilities:
Greets callers in a positive and professional manner; verifies caller ID utilizing information systems data as appropriate to release information.
Engages caller, asks probing questions, as necessary, to determine nature of the call and issues of concern. Uses online systems to search for and secure the information needed to answer the caller s inquiry and provide the appropriate response.
Follows procedures for release of specific policyholder information. Forwards standard or special action requests to appropriate department to comply with caller s request for written correspondence.
Reviews and determines nature of email inquiries, analyzes the issues and either responds or directs the inquiry to the proper department.
Performs other customer service related duties as requested by Supervisor.

Education: BS or BA degree in related field.

Experience: at least 3 years work experience with direct customer contact (phone). Call center type environment a plus.

Location: Long Wharf (555 Long wharf Drive, New Haven, CT 06511

Training Work Schedule: M-F, 9 am 5:30 pm

Work Schedule: M-F, 11 am 7:30 pm

Contract Length: 6 months to start, most likely will go longer. Possible temp to hire. This order is for 2 candidates as they have 2 openings to fill.



Associated topics: actuarial analyst, actuary consultant, analyst, associate actuary, director actuary, mathmatics, model, probability, retirement actuary, statistics


* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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