Healthcare Analytics Associate
Connecticare
Summary:
Develop/design and test policies for review and approval by Management; present statistical information to actuarial, underwriting, and other business partner leaders to support decisions about the pricing of plans, product development and marketing planning. Administer finalized policies; monitor results and provide feedback as needed. Collect and compile statistical data for additional analysis. Estimate the probability and likely cost of sickness, treatment, and medical services.Responsibilities:
Design, test, and administer policies to minimize risk and maximize the profitability of insurance policies; develop and produce charts and other exhibits to explain proposals and calculations. Identify trends and patterns in a variety of complex data sets. Program and develop pricing and statistical models, spreadsheets, and databases using analytical software. Explain complex ideas and technical data to different audiences. Identify a company's risks and develop plans and recommendations to manage its risks; present findings to Actuarial management. Develop, maintain, and analyze projection models. Reconcile and analyze actuarial inputs and outputs. Collaborate with key leaders in order to identify and meet information needs. Establish actuarial, underwriting, or healthcare economics procedures and document them for internal use. Perform additional duties as directed.Requirements:
Bachelor’s degree in Actuarial Science, Mathematics, other physical science, or related finance/business degree required 2 – 3+ years of relevant, professional work experience and/or education required Understanding of actuarial principles and methodologies with strong mathematical and analytical skills required Excellent written and oral communication skills to deliver complex information to a diverse audience up to and including senior management/stakeholders required Capable with Excel, data extraction, simulations, automation required Proficiency with MS Office (Word, Excel, PowerPoint, Outlook) required Exposure to SQL, SAS, Python or similar preferred Additional Information Job Type: Standard Schedule: Full-time Employee Status: Regular Requisition ID: 1000002153 Hiring Range: $45,000-$77,000
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