Hybrid Distribution Finance Analyst — Impact

National Life Group

Montpelier (VT)

Hybrid

USD 62,000 - 91,000

Full time

3 days ago
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Benefits offered by this job

Benefits start day one
401(k) eligibility
Paid time off

Job summary

National Life Group in Montpelier, VT, is seeking a Distribution Finance Analyst to support financial planning, forecasting, and analytics for life and annuity sales. You will deliver timely, accurate insights to drive performance in a pay-for-performance environment.

The role requires a finance/analytics background, strong Excel and data visualization skills, and the ability to communicate complex findings clearly to non-technical partners. Hybrid onsite schedule.

Qualifications

  • Bachelor's degree in Finance, Accounting, Economics, Mathematics, Data Analytics, or a related field.
  • Strong financial and analytical background with critical thinking.
  • Excellent data organization and proficiency in Excel.
  • Customer service mindset with clear communication across levels.
  • Ability to act with urgency and improve processes for efficiency.

Responsibilities

  • Modeling and analysis of distribution incentives and compensation programs.
  • Develop forecasting tools to evaluate distribution financial health and expenses.
  • Collaborate with distribution leaders to interpret data and influence decisions.
  • Maintain incentive forecasting tools and program effectiveness measures.
  • Partner with cross-functional teams to ensure financial consistency.

Skills

Analytical thinking
Communication
Attention to detail

Education

Bachelor's degree in Finance, Accounting, Economics, Mathematics, Data Analytics, or a related field

Tools

Excel
Power BI
SQL

Job description

National Life Group in Montpelier, VT, is seeking a Distribution Finance Analyst to support financial planning, forecasting, and analytics for life and annuity sales. You will deliver timely, accurate insights to drive performance in a pay-for-performance environment.

The role requires a finance/analytics background, strong Excel and data visualization skills, and the ability to communicate complex findings clearly to non-technical partners. Hybrid onsite schedule.

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