Senior Pharmacy Pricing Analyst

Profile

Description

The Senior Business Intelligence Engineer solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Senior Business Intelligence Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Responsibilities

The Senior Business Intelligence Engineer describes the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data in order to create insightful and actionable business information. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Responsibilities include:

Support the Pharmacy ASO Pricing business, methodology and assumption development - manage RFP incoming work, repricing and ad hoc requests

Build and maintain Pharmacy Analytics pricing tools, underwriting tools, and assumptions

Solve complex business problems and issues using data from internal and external sources to provide insight to and consult with decision-makers

Utilizes data to create insightful and actionable business information

Be responsible for understanding the customers' needs and pulling together the appropriate data/analysis to meet those needs

Develop and maintain key relationships with multiple business areas

Review and analyze results, assisting other business areas with issue resolution

Communicating high level summary results to business owners and leadership

Developing and improving processes and documentation to support best practices

Standard automation as well as open-ended process innovation

Required Qualifications

Bachelor's degree and 5 or more years of technical experience in data analysis OR Master's degree and 3 or more years of experience

Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint

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

Proficiency in understanding Healthcare related data

Proficiency in verbal and written communication to senior and executive leadership

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

Preferred Qualifications

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

Advanced in SQL, SAS and other data systems

Experience with tools such as Tableau and Qlik for creating data visualizations

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

Experience creating analytics solutions for various healthcare sectors

Additional Information

Scheduled Weekly Hours

40

Company info

Humana Inc.
Website : http://www.humana.com