Validate business data objects for accuracy and completeness. Evaluate data models and physical databases for variances and discrepancies.Maintain conceptual, logical and physical data models along with corresponding metadata. Optimize/update logical and physical data models to support the new requirements.Design, Develop, Publish, Test and Troubleshoot Dashboards and Data Sources.Define indicators of performance and quality metrics.Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.Support the development of queries, views, and customer feedback data explorations to aid in decision making by using one or a combination of the following: SAS, Tableau, Webfocus8, Microsoft SQL server, Toad.Improve capabilities to increase program maturity, analytics based decision making, and tools and techniques critical to program execution.Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support. Perform critical activities, such as data synthesis, data mining and analysis using various industry methods, in addition to creating algorithms and running simulations.
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