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Job Information

Humana Business Intelligence Lead in Aberdeen, South Dakota

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

Business Intelligence Lead of Humana Smart Insights is responsible for optimizing the Group Segment's customer and broker reporting capability, delivering contemporary and actionable reporting, well-rounded insights, and proactive recommendations that are contemporary and differentiated in the market place. Deploying a proactive and consultative approach, the Business Intelligence Lead provides strategic thought leadership and drives execution to identify and address business and customer issues and opportunities for reporting and analytics enhancements.

Key Responsibilities

  • Report-writer in vendor (Deerwalk) platform, both ad hoc for specific customer / broker / internal user and broader scale continuous improvement

  • Shepherds intake process for new enhancements / developments

  • Leads the establishment of new reporting capabilities, including vetting with appropriate internal stakeholders, securing business approval and IT funding and collaborating with other Humana Smart Insights team members (e.g. Reporting Analyst) and IT on system requirements and UAT sign-off

  • Proactively and continuously solicits and incorporates internal and external constituent feedback and drives new functionality and opportunities for growth of the reporting and analytics tools and team to support and align with the needs of the business, customers and brokers

  • Solves complex business problems and issues using data from internal and external sources to provide insight for decision-making

  • Lead of ongoing enhancements and expansion to ensure platform keeps pace with the evolution of technology and is and highly regarded by internal and external stakeholders

  • Partners with Sales Training, Sales Champions and other Humana Smart Insights team members to train internal and external stakeholders on how to use the tool

  • Supports team leader in delivering compelling presentations to internal and external constituents that highlight our unique reporting and analytics capabilities, positioned as a differentiator for Humana in the large group marketplace

  • Partner with leader to anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs

  • Collaborate with the Group Sales Enablement team and Group Segment as a whole to ensure that the work of the team is cohesive, prioritized and meets the needs and goals of the business

  • Contributes to the build out of the Humana Smart Insights team; continuously evaluating opportunities to address and contribute to the evolving needs of the business

Required Qualifications

  • Bachelor's Degree

  • 5+ Years of technical experience in data analysis

  • 3 or more years of data analytics experience

  • Advanced experience working with big and complex data sets within large organizations

  • Proficiency in understanding Healthcare related data

  • Proficiency in compiling, analyzing and interpreting healthcare related data trends

  • Advanced knowledge of data, modeling, and optimization tools

  • Must be passionate about contributing to an organization focused on sales and continuously improving consumer experiences that translate to better outcomes

  • Excellent oral and written communication skills, previous experience presenting and interacting with executive leadership

  • Flexible, dynamic personality with a demonstrated ability to lead and influence others without authority while contributing individually

  • Committed to modeling our Humana values: Pioneer Simplicity, Inspire Health, Rethink Routine, Cultivate Uniqueness, Thrive Together

Preferred Qualifications

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

  • Advanced in SQL, SAS and other data systems

  • Experience with tools such as Tableau and Qlik for creating data visualizations

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

  • Experience creating analytics solutions for various healthcare sectors

Additional Information

Scheduled Weekly Hours

40

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