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Data Analyst 102268 with Security Clearance

Information Technology Engineering CorporationHerndon, VA🇺🇸United StatesPosted 21 Jul 2026

Why This Role Stands Out

Leverage your analytical expertise in a hybrid role with a leading IT engineering firm, where you'll drive critical insights for national security missions and gain exposure to advanced analytics techniques. This position offers significant growth potential for skilled professionals who can translate complex data into actionable strategies and thrive in a collaborative environment. Join a reputable organization and apply today to make a meaningful impact.

Quick Overview

Work Type
Hybrid
Schedule
Employee
Level
Mid Senior

Job Description

Data Analyst 
Location: Alexandria, VA/Springfield, VA/Arlington, VA/Herndon, VA/Chantilly, VA 
Required Clearance: Secret/Top Secret/Top Secret/SCI   Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay.   U.S.

Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.

Job Responsibilities:

  • Use platform data to identify trends, patterns, and actionable insights supporting mission objectives and system improvements.
  • Work with stakeholders to define analytical requirements, ensure data quality and governance compliance, and develop methodologies for data collection, analysis, and visualization.
  • Creating reports, dashboards, and metrics to monitor performance, costs, usage, and customer satisfaction.
  • Perform advanced data analysis using statistical methods, data mining, and predictive analytics, integrating data from various sources to uncover correlations and forecast future needs.
  • Validate data accuracy, document processes, and provide insights to support data-driven decision-making.
  • Collaborate with technical teams to optimize data systems, implement improvements, and develop reusable analytical components.
  • Evaluate and implement tools, train users on analytics capabilities, and stay current with advancements in analytics techniques and technologies, bringing innovative approaches to their work.

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