Benefits Operations Analyst - Hybrid, Data-Driven Impact

CEB Cranston EB

United States

Hybrid

USD 55,000 - 75,000

Full time

3 days ago
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Benefits offered by this job

401(k) with company match
Medical, Dental, Vision and FSA/HSA
Paid Time Off
Life Insurance
Hybrid work model

Job summary

The Hilb Group is seeking an Employee Benefits Operations Analyst to join our Cranston, RI team in a hybrid capacity. You will research commissions, manage documentation, and support financial reporting and benefit systems to ensure accurate and timely information.

Ideal candidates are well organized, able to prioritize, and able to collaborate across Finance, Sales, and service teams. A strong background in MS Office and data analysis is preferred.

Qualifications

  • Minimum High School degree.
  • Bachelor’s or associate degree in Business Administration, Finance, Analytics, Communications, or related field preferred; equivalent relevant experience will be considered.
  • Experience in employee benefits, insurance brokerage, operations, finance support, data analysis, or professional services is a plus.

Responsibilities

  • Research missing commissions, statements, and bonus allocations.
  • Maintain commission statement libraries and support documentation and allocation of activity.
  • Support accounts receivable, billing, collections follow-up, and audit questions.

Skills

Analytical thinking
Strong communication
Time management
Independent & proactive

Education

Bachelor's or associate degree in Business Administration or related field

Tools

Microsoft Office
Excel
PowerPoint
Copilot

Job description

The Hilb Group is seeking an Employee Benefits Operations Analyst to join our Cranston, RI team in a hybrid capacity. You will research commissions, manage documentation, and support financial reporting and benefit systems to ensure accurate and timely information.

Ideal candidates are well organized, able to prioritize, and able to collaborate across Finance, Sales, and service teams. A strong background in MS Office and data analysis is preferred.

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