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Humana Senior Business Intelligence Engineer in Troy, Michigan

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

  • 5 or more years of technical experience in data analysis

  • Minimum 1 year of technical experience with modern cloud technology stacks tools such as MongoDB, Graph Databases, JSON, XML, Data Flow, Stream Sets, Cloud Infrastructure, API Design, and end to end testing of new software products and data

  • Advanced experience in SQL, SAS and other data systems

  • Proficient knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint

  • Advanced experience working with big and complex data sets

  • Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction

  • 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

  • Must ensure designated work area is free from distractions during work hours and virtual meetings

  • Must provide a high-speed DSL or cable modem for a workspace (Satellite and Hotspots are prohibited). A minimum standard speed of 10x1 (10mbs download x 1mbs upload) for optimal performance of is required

Preferred Qualifications

  • Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field

  • Experience with data visualizations tools

  • Expertise in data mining, forecasting, simulation, and/or predictive modeling

  • Experience creating analytics solutions for various healthcare sectors

  • Proficiency in understanding Healthcare related data

Scheduled Weekly Hours

40

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