Data Visualization Engineer
Remote US
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, SPSS, QlikSense, 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
Location/Work Style: Remote US
Why Humana?
At Humana, we know your well-being is important to you, and it’s important to us too. That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive …
This job isn't fresh anymore!
Search Fresh JobsJob Profile
Dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information Illinois Montana Remote US South Dakota Work from a dedicated space Work from a dedicated space lacking ongoing interruptions Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information Work from Home in the state of California, Illinois, Montana, or South Dakota
Benefits/Perks401(k) retirement savings plan Annual incentive plan Bonus incentive plan Competitive benefits Dental Generous PTO Health benefits Health benefits effective day 1 Life Insurance Medical Paid parental and caregiver leave Paid Time Off Paid Volunteer time off Parental and Caregiver Leave Personal holidays PTO Student Loan Refinancing Time off Vision Vision Benefits Volunteer time Volunteer time off Work-life balance
Tasks- Data visualization
- Reporting
- Stakeholder Engagement
- Training
Access Analytics BI Business Clinical Communication Computer Customer service Data Data & Analytics Data Mining Data Visualization Engineering Hadoop Healthcare HIPAA Leadership Managed Care Mathematics Medicaid Medicare Modeling Organizational Pharmacy Predictive Modeling Recruitment Reporting SAS SPSS SQL Statistics Strategy Teams Training Visualizations Wellness Written communication
Experience2-5 years
EducationAnalytics Associates Bachelor's Bachelor's degree Bachelor's degree in Statistics Business Communication Computer Science Education Engineering Management Master's Master's degree Mathematics Related Field Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9