Data Visualization Engineer

Data Visualization Engineer at Humana in Boise, Idaho, United States Job Description Become a part of our caring community and help us put health first Join our team as a Data Visualization Engineer 2 and revolutionize how we interact with data As a pivotal member, you'll leverage cutting-edge tools and techniques to translate complex data into captivating visual stories. Harness your creativity to design intuitive dashboards and interactive visualizations that drive data-driven decision-making across the organization. Collaborate with cross-functional teams to deliver actionable insights and unlock the full potential of our data. The Data Visualization Engineer 2 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 Data Visualization Engineer 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Data Visualization Engineer 2: + 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. + 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. Use your skills to make an impact Required Qualifications + Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering and/or related field + 2 - 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 + Individual contributor that can work independently Preferred Qualifications + Master's degree in Statistics, Mathematics, Computer Science, Engineering and/or related field + Healthcare or managed care experience + Experience with data extraction and analysis technologies such as SAS, To view full details and how to apply, please login or create a Job Seeker account