• Providing direct support to the Department of Veteran's Affairs Offices of Metal Health and Suicide Prevention, this Data Visualization Analyst will: • develop intuitive dashboards and data visualization products using Microsoft Power BI or other data visualization tools for data and metrics reporting using administrative medical records data, other VA administrative data, and curated data sets within the VA Suicide Prevention Program Office; • develop a user-friendly and visually appealing reporting interface in Microsoft Power BI; • work with other Power BI Developers to build and design a high-profile reporting dashboard for our VA clients; • deploy and maintain dashboards and linkages to other dashboards and databases; • provide ongoing support and management of the dashboard once completed; • design efficient databases and workbooks needed to support program-specific dashboards; • support business decisions with ad hoc analysis; • think strategically about how to publish data visualizations and present analytic results for VHA executive leadership and other stakeholders; • develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; • use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations; • serve as a technical/domain expert providing direction, interpretation, and alternatives to advise, consult, and recommend solutions; • collect, study, and analyze data to inform and determine suggested courses of action; • perform studies such as analysis of alternatives and return on investment; • prepare documentation including reports, papers, and presentations to communicate key Government owned data to internal and external audiences; • maintains knowledge and apply advanced technical principles, theories, and concepts and; • create data flow maps, process guides, and other support documents that describe collection, archiving, management, and retrieval processes for program evaluation data.