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Humana Lead Rebate Modeling Analyst Remote in Boston, Massachusetts

Description

The Lead Rebate Modeling Analyst will provide leadership of the Pharmacy Rebate Modeling team. This team develops financial modeling and utilization insights on Humana's Pharmacy Rebates portfolio.

Responsibilities

Responsibilities

  • Lead and develop a team of analysts dedicated to Pharmacy Rebate Modeling & Pharmacy utilization

  • Utilizes advanced models to aid in making complex financial decisions

  • Uses project management skills to coordinate inputs from multiple supporting teams

  • Fully manages the relationship between the analytics team and the trade team that interacts and negotiates with drug manufacturers

  • Routinely presents modeling results in meetings with key stakeholders and executive decision makers

  • Leads development of various tools and reporting packages to aid internal customers and partners in assumption development

Required Qualifications

  • Bachelor's degree and 6 or more years of technical experience in data analysis

  • 2 or more years of leadership experience

  • Previous pharmacy or healthcare experience

  • Advanced experience in SAS and Excel

  • Advanced experience working with big and complex data sets within large organizations

  • Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction

  • Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs

  • Proficiency in verbal/written communication to senior and executive leadership

  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences

  • Experience with tools such as Power BI for creating data visualizations

  • Expertise in data mining, forecasting, simulation, and/or predictive modeling

  • Experience creating analytics solutions for various healthcare sectors

Preferred Qualifications

  • Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.

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Scheduled Weekly Hours

40

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