Humana Hiring for Senior Business Intelligence Engineer at Las Vegas, Nevada Full Time

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.

Required Qualifications

• Bachelor’s degree and 2-5 years of technical experience in data analysis OR Master’s degree and 1-3 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

• Advanced in SQL, SAS or other data systems

• 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

• 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