Data Analyst – Federal Operations

CACI International • Washington, DC

82d • $49,900 - $100,000

About The Position

CACI is seeking a Data Analyst to support a high-visibility transformation initiative with our Department of Energy (DOE) client. In this role, you’ll contribute directly to reimagining how a major federal agency manages procurement — enhancing operational efficiency, reducing lead times, and equipping field teams with the tools they need to succeed. You won’t just analyze numbers — you’ll help shape smarter decisions that drive real-world outcomes. As part of this long-term modernization effort, you'll be instrumental in helping the agency adopt standardized processes, deploy cost-effective analytics solutions, and increase overall program effectiveness. This is a unique opportunity to work at the heart of government innovation and bring data-driven insights to life.

Requirements

• One (1+) years of experience in data analytics.
• Active security clearance: DoD Top Secret/Secret or DOE Q or L.
• Strong Excel skills, including use of pivot tables, data extraction, and the Data Analysis Toolpak.
• Experience building dashboards that manage large datasets and multiple parameters.
• Experience developing data-driven performance reporting tools by integrating multiple sources into a comprehensive output.
• Excellent attention to detail and accuracy in working with data.

Nice To Haves

• Bachelor’s degree or higher in a related field such as Business Analytics, Statistics, Operations Research, or Mathematics.
• Familiarity with federal procurement, acquisition, or inventory management.
• Ability to communicate complex data concepts clearly to non-technical audiences.
• Experience with SQL, Python, R, JSON, DAX, or other data programming tools.
• Proficiency with data visualization platforms such as Tableau or Power BI.

Responsibilities

• Extract, transform, and cleanse procurement and retail inventory data to prepare it for deep analysis.
• Apply statistical techniques and forecasting models to uncover trends and patterns in historical data.
• Build user-friendly dashboards, databases, and reports that guide data-driven decisions across programs.
• Support the development of scalable data models that enhance reporting and analytical performance.
• Help bring clarity to complexity — translating data into stories that inform action.

Benefits

• Healthcare benefits
• Wellness benefits
• Financial benefits
• Retirement benefits
• Family support benefits
• Continuing education benefits
• Time off benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees