We are seeking a highly skilled Senior Data Analyst and Visualization Specialist to join our team. The ideal candidate will possess advanced data analysis, visualization, and communication skills, and will effectively collaborate with executive-level government personnel and various programming cells. This role requires proficiency in multiple data visualization tools and programming languages, as well as the ability to transform complex data into actionable insights.

• Communication and Collaboration:
• Effectively communicate with executive-level (GS-15, O-6 level) government personnel regarding specific tasks and challenges.
• Collaborate with other programming cells from various TYCOM/System Commands/Program Offices to share and adapt data and visualization products in ADVANA/Jupiter.
• Data Collection and Analysis:
• Collect, analyze, organize, and present data using Naval Aviation databases, Naval Surface databases, Ship Maintenance databases, Shipyard databases, and Ship Supply databases.
• Import daily/weekly/monthly data sources, run pre-programmed macros, and relay issues to the development team using advanced experience in MS Excel, Qlik, and Tableau.
• Data Validation and Visualization:
• Validate outputs from Data Visualization tools (Tableau and Qlik) with raw data sources.
• Display information in various charts, tables, and dashboards by having a working understanding of Jupiter/Advana.
• Performance Management:
• Establish enterprise performance management metrics, dashboards, and dashboard functional proponents within Jupiter.
• Reporting and Presentation:
• Gather and analyze data, organize and document findings of studies, and prepare recommendations for implementing new systems, procedures, or organizational changes.
• Collate information into meaningful reports and presentation material.
• Data Transformation and Optimization:
• Transform CVN raw data into viable and readable formats for display in Tableau and Qlik for decision utilization by the ROC leadership.
• Design, build, test, blend, manage, and optimize all types of CVN data utilizing numerous sources.
• Programming and Technical Skills:
• Utilize common programming languages including SQL, NoSQL, Python, Java, R, and Scala.