Skills

• Build and maintain the schema objects and abstraction layer on top of varying and changing enterprise assets
• Build flexible, dynamic attribute groups of multiple attributes by filtering data to create custom groups
• Create derived metrics within reports and dossiers to compare time periods, filter calculations, and compare data points
• Create, share, and maintain intelligence applications for the enterprise.
• Determine how data is refreshed when a dataset is republished
• Determine which dataset values are displayed by specifying primary and secondary datasets
• Display content, such as additional context or instructions, in pop-up information windows
• Govern, certify, and use information from multiple data assets stored in disparate data sources
• Improve the quality of imported data
• Maintain the security layer, optimize architecture, reduce errors, maximize uptime, and boost performance
• Provide investigative or drill-down workflows to improve a visualization’s story-telling capabilities by linking visualizations and pages
• Publish standardized application objects and promotes departmental applications from self-service into the enterprise environment
• Resolve metric calculation and display issues by joining multiple datasets