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Humana Business Intelligence Engineer 2 in Billings, Montana

Description

The Business Intelligence Engineer 2 solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Business Intelligence Engineer 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

Responsibilities

The Business Intelligence Engineer 2 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. 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.

The Business Intelligence Engineer 2 will be supporting business-area created technology solutions which necessitate familiarity with .NET Framework, C# development, Oracle and SQL server databases, and other software solutions. Strong communication and organizational skills will be used to collaborate with process owners in creating and fulfilling development, process, and reporting needs.

Required Qualifications

  • C# development experience

  • Technical experience in data analysis

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

  • Expertise in assessing complex data sets and performing root cause analysis

  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences

  • 2 or more years of experience in SQL, SAS or other data systems

Preferred Qualifications

  • Experience developing Power BI reports and Dashboards

  • Experience with data mining and predictive modeling techniques

  • Ability to use data to drive business outcomes and decisions

Scheduled Weekly Hours

40

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