Humana needs your analytical skills to help us tell a compelling story about healthcare today. Through the strategic interpretation of data, we provide our consumers with meaningful insights about the choices they make and help them lead their best lives. We’re passionate about combining and analyzing diverse types of data to extract new, actionable discoveries about our members and their health-related behaviors. We encourage you to dive into your passion for data and use analysis to help Humana tell the health-and-wellness stories of our members. We’re looking for driven, innovative people who are interested in using their analytical skills to help our consumers achieve lifelong well-being and help Humana make lasting, positive changes in the healthcare industry.
Create/Develop and maintain automated reports and tools based off customer requirements
Be responsible for understanding the customers’ needs and pulling together the appropriate data to meet those needs
Develop and maintain key relationships with multiple business areas
Review and analyze results, assisting other business areas with issue resolution
Communicate high level summary results to business owners and leadership
Develop and improve processes and documentation to support best practices
Perform deep-dive analysis and answer questions around metric variances
Perform ad-hoc analysis on an as-needed basis
Bachelor's Degree in in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field; or equivalent work experience
Experience utilizing visualization tools such as Tableau and QlikView
2+ years’ experience completing data mining, manipulation, cleaning and technical analysis
Demonstrable experience in interpreting and generating insights from the data
Strong problem-solving and analytical skills
Candidates should have the ability to work on multiple projects with occasionally tight deadlines
Strong communication skills with the ability to explain technical concepts and analytics-driven findings to business people and to explain business processes, concepts, challenges, and issues to technical resources
Candidates should also possess the ability to take initiative, work independently, and exercise appropriate business judgment
Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
2+ years of experience in SQL, SAS or other data systems
Experience with data mining and predictive modeling techniques
Ability to use data to drive business outcomes and decisions
Prior healthcare industry experience in a clinical, pharmacy, or related setting
Demonstrated experience, in a business setting, working with large data sets
Scheduled Weekly Hours
Equal Opportunity Employer
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