Humana Senior Data Visualization Engineer in 515 Building, Armenia

Description

The Senior Data Visualization Engineer builds user interfaces, visualizations, and data algorithms. Takes complex data and making it more accessible, understandable and usable for leaders to derive insights and ultimately enable them to make the better business decisions. The Senior Data Visualization 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 Data Visualization Engineer may work with stakeholders to perform data analytics and write software. Assists in the development of our cloud based analytics platform. Builds interactive visualizations and front end software applications for stakeholder engagement. Can perform analytics based on stakeholder needs. 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 in Statistics, Mathematics, Computer Science, Engineering and/or related field

  • 5+ years of professional experience performing data analytics and building user interfaces, visualizations, and data algorithms

  • Experience taking complex data and making it more accessible, understandable and usable for leaders to derive insights

  • Clear oral and written communication skills

  • Flexible, dynamic personality who works well in a team environment

Preferred Qualifications

  • Master's degree in Statistics, Mathematics, Computer Science, Engineering and/or related field

  • Six Sigma certification

  • Healthcare or managed care experience

  • Experience with data extraction and analysis technologies such as SAS, SPSS, QlikView, Tableau, Hadoop, SQL or similar tools

  • Experience with reporting and creating metrics for management

  • Experience with data mining, predictive modeling techniques and using data to drive business outcomes and decisions

Additional Information

Scheduled Weekly Hours

40

About Us

Equal Opportunity Employer

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