Humana Informaticist 2 in Billings, Montana
The Informaticist 2 coordinates with other analytics, IT and business areas across the organization to ensure work is completed with insights from knowledge SMEs. The Informaticist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.
The Informaticist 2 leverages its advanced knowledge of data, modeling, optimization, and tools. Applies disciplined analytics to predict behavior and optimize programs and products to maximize revenue growth. Utilizes advanced or predictive modeling to develop, test and validate cases that improve the outcomes and quality of the programs we offer. Contributes to more innovative approaches to financial models as it builds knowledge of the business context in which it operates. Understands and analyzes complex data, articulates to various units within the company at the appropriate level, impacts the business from mathematical concepts which have a potentially sizeable dollar impact on the business. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures.
2 - 5 years of data analysis experience
1 - 2 years of coding experience
Ability to use appropriate problem solving, research and analysis tools
Experience with data mining, predictive modeling techniques and using data to drive business outcomes and decisions
Comprehensive knowledge of all Microsoft Office applications
Experience with data driven visualization and story telling
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Six Sigma certification
Power Bi Dashboard Experience
Experience with Patient Safety or CMS Stars Measures
Preferred technologies such as QlikView, Tableau, Hadoop or similar tools
Preferred Coding languages SAS, SQL, R, Python or similar languages
Scheduled Weekly Hours