Benefits Analyst, Health & Welfare — Hybrid & Growth

Marsh

Troy (MI)

Hybrid

USD 65,000 - 80,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work
Tuition reimbursement
Professional development opportunities
Stock purchase opportunities
Generous time off

Job summary

Marsh McLennan Agency is seeking an Associate Benefits Analyst to join the Benefits Analyst team. The role focuses on obtaining and analyzing group benefit program proposals, benchmarking bids for health and welfare coverage, and developing detailed client reports.

Heavy emphasis on Excel and cross-functional collaboration with Senior Benefit Analysts. The ideal candidate will have a finance/mathematics background, 1–3 years of related experience, and strong analytical and communication skills.

Qualifications

  • Bachelor's degree in finance, mathematics or other related area preferred.
  • One - three years of office administrative/financial support experience is essential.
  • Proficient in MS Word, Excel and PowerPoint.
  • Must possess strong analytical and problem solving skills.
  • Excellent written and verbal communication skills.

Responsibilities

  • Obtain and analyze group benefit program proposals for clients.
  • Analyze bids for group health and welfare coverage and provide benchmarking research.
  • Develop detailed client reports and provide substantial financial analysis for multiple clients.
  • Support assigned Senior Benefit Analysts and the department in general, with heavy Excel usage.

Skills

Analytical skills
Communication skills

Education

Bachelor's degree in finance or mathematics

Tools

MS Word
Excel
PowerPoint

Job description

Marsh McLennan Agency is seeking an Associate Benefits Analyst to join the Benefits Analyst team. The role focuses on obtaining and analyzing group benefit program proposals, benchmarking bids for health and welfare coverage, and developing detailed client reports.

Heavy emphasis on Excel and cross-functional collaboration with Senior Benefit Analysts. The ideal candidate will have a finance/mathematics background, 1–3 years of related experience, and strong analytical and communication skills.

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