Lead Business Intelligence Engineer

Profile

Job Information
Humana
Lead Business Intelligence Engineer
in
Glen Allen
Virginia
Description
The Business Intelligence Lead solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Business Intelligence Lead works on problems of diverse scope and complexity ranging from moderate to substantial.
Responsibilities
The Business Intelligence Lead 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. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.
Location: Position can be remote/work at home
Required Qualifications:
Statistic/Modeling/AI Machine Learning skillset (Predictive Analytics)​ are required foundational skills needed in this role.
Bachelor's degree and 8 or more years of technical experience in data analysis OR Master's degree and 4 years of experience
Leveraging statistical models to drive insights
Experience with tools such as Power BI, Tableau, and Qlik for creating data visualizations
Expertise in data mining, forecasting, simulation, and/or predictive modeling
2 or more years of project leadership experience
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
Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
Proficiency in understanding Healthcare related data
Proficiency in verbal/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 experience preferable in SQL, SAS and other data systems
Experience creating analytics solutions for various healthcare sectors
Experience with Machine Learning or Deep Learning
Additional Information
Scheduled Weekly Hours
40

Company info

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