Data Analyst

FEDITC, LLC is a fast-growing business supporting DoD and other intelligence agencies worldwide. FEDITC develops mission critical national security systems throughout the world directly supporting the Warfighter, DoD Leadership, & the country. We are proud & honored to provide these services.

Overview of position:

FEDITC is seeking a Data Analyst to support advanced analytics initiatives within the Department of Homeland Security. The successful candidate will transform complex datasets into actionable insights, develop analytical products that support decision-making, and collaborate with technical and mission stakeholders to improve the use of data across the organization.

This position supports data-driven analysis, dashboard development, predictive analytics, and risk-informed decision support within a modern cloud-based analytics environment. 

A United States Citizenship is required to be considered for this position. Must be able to obtain and maintain DHS suitability and access to government systems and information as required. Personnel will support a DHS environment containing Controlled Unclassified Information (CUI). 

Responsibilities:

• Analyze structured and unstructured data to identify trends, patterns, and actionable insights.
• Develop dashboards, visualizations, and analytical reports for decision makers.
• Support data preparation, transformation, validation, and quality assurance activities.
• Conduct statistical and quantitative analysis using modern analytical tools and techniques.
• Support predictive analytics, risk analysis, and scenario-based assessments.
• Collaborate with subject matter experts to validate analytical findings and assumptions.
• Document methodologies, data sources, and analytical results.
• Support enterprise data management and data governance initiatives.
• Assist in the development of repeatable analytical processes and automated reporting capabilities.
• Present findings to technical and non-technical audiences.
• Contribute to continuous improvement of data-driven decision support capabilities.

Experience/Skills:

• 7+ years of relevant experience in data analysis, business intelligence, analytics, or quantitative analysis.
• Experience using SQL to query and analyze data.
• Experience using Python for data analysis and reporting.
• Experience developing dashboards using Power BI, Tableau, or similar visualization platforms.