Pay: $39.10/hour

Hybrid position located in Indianapolis.

In this role you will:

• Support a portfolio of data domains to identify and implement continuous ideas for visualizing data for self-service analytics
• Own/lead data and analytics projects
• Support other Data Analysis team members on meeting goals and delivering results on statewide data initiatives
• Foster a positive feedback culture and utilize feedback to offer guidance and support to team members
• Participate in community data events and share knowledge / experience with others in the field
• Monitor and manage success metrics and create enhancement plans as needed, outlining targeted strategies on how to increase performance and support executive set metrics to deliver great service
• Proactively identify challenges and work cross-functionally to diagnose, recommend, and implement solutions
• Coordinate with key business stakeholders to understand their analytical and operational challenges
• Determine the structure, content, and quality of the data through examination of source systems and data samples
• Collaborate with other BI professionals and data engineers around data/table structures to optimize dashboards and other self-service needs
• Prioritize requirements and create prototypes for end users, (examples of end users are peer groups, field staff, data governance officers, or executive leadership)
• Work closely with end users to gather requirements and translate them into effective/meaningful visual reporting tools
• Design, develop, and format polished data visualizations (reports and dashboards) to support generated user stories
• Present data in a fashion that is easy to understand with proper documentation and user testing for successful adoption
• Publish workbooks to appropriate QA, production, and public servers
• Provide end user education for interpretation of business data
• Provide maintenance and support for production products
• Look for opportunities to improve current processes or find efficiencies by applying industry best practices as a BI professional
• Maintain a high degree of customer satisfaction through the implementation, investigation, analysis, training, and relationship building efforts