Data Visualization / BI Lead

The Data Visualization Lead 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 Lead works on problems of diverse scope and complexity ranging from moderate to substantial., The Data Visualization Lead 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. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action., Will report to the Director, Cloud Architecture, IT HPE - FORGE

Scheduled Weekly Hours

40

Bachelor’s Degree in Statistics, Mathematics, Computer Science, Engineering and/or related field or equivalent experience

6 or more years of professional experience performing data analytics and building user interfaces, visualizations, and data algorithms

Hand-on experience with Power BI

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

Experience with reporting and creating metrics for management

Clear oral and written communication skills

Flexible, dynamic personality who works well in a team environment and can lead a team

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

Preferred Qualifications

Experience with Azure Boards / Azure DevOps

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, QlikView, Hadoop, SQL or similar tools

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

2 or more years of technical project leadership experience