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

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