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Insurance Analytics Supervisor
CPS Recruitment has an exciting opportunity for an Insurance Analytics Supervisor with an established and growing company south of Utica, NY. In this role, you will provide technical guidance and mentoring for a small team of analysts. You will be responsible for enhanced analytics that provide greater claims performance insight, forecasting, and opportunity identification.
Your expertise will provide visibility into claims performance trends, increasing alignment and execution of the strategic plan. You will be able to influence the business by providing accurate data for profitability analysis
You will manage the production and delivery of data, reports and tools for the claims operations team.
You will work with divisional partners to drive analytical needs as they pertain to claims initiatives, forecasting and predictive analytics. This is a key and impactful role in the organization.
Why would you want to work here?
Our client has a very unique and employee-focused culture. They focus on hiring and developing leaders - not managers. The benefit package is extremely rich including a company wide bonus program. Work out facility on campus.
- BS in Mathematics, Finance, Economics, Statistics or Accounting.
- 3+ years of insurance analysis experience
- Strong leadership skills
- Business Acumen with a strong proficiency in IT
- Advanced computer skills including Excel, Access, SQL including the ability to create, manipulate and formulate spreadsheets and databases.
- Intermediates understanding of report writing skills including Access, Cerystal and Actuate.
70,000 - 110,000 DOE
If this position is not the right fit for you, but better for someone you know please feel free to forward the information. We compensate up to $500 for referrals that are hired on by our clients.
For immediate consideration or to learn more please submit your resume to firstname.lastname@example.org
CPS Recruitment is an EOE
- Start Date:
- Pay Rate:
- $70,000 - 110,000/year
- Utica, NY 13335
- Job Type:
- Direct Hire
- Job ID: