Data Analyst

Responsibilities

This Data Analyst position supports   Operations in the Information Environment (OIE)  and   Psychological Operations (PSYOP)  by transforming diverse intelligence and behavioral data into actionable insights for operators and decision makers.   It’s   not a corporate analytics role —  it’s   an operational,   mission   driven   intelligence analytics role.  

Core Responsibilities (What You Actually Do) 

• Multi source data aggregation  — Combine data from OSINT, SIGINT, HUMINT, CEM, social media, web metrics, surveys, and focus groups into structured datasets.  

• Operational assessments  — Support Measures of Effectiveness (MOE), Measures of Performance (MOP), and intermediate   objectives   tied to operational plans.  

• Cloud   based   analytics  — Use cloud platforms to access, manage, and analyze behavioral and operational datasets.  

• Advanced data transformation  — Apply SQL, Python, and R for cleaning, modeling, statistical analysis, and visualization.  

• Database administration  — Perform data entry, system updates, troubleshooting, and documentation aligned with Government data standards and Security Implementation Guides.  

• Tagging structures  — Implement tagging for Lines of Effort (LOE) and Lines of Persuasion (LOP) to organize and retrieve   mission   critical   data.  

• Observational evidence analysis  — Process usage data and observational evidence to support operational assessments.  

• AI   enabled   workflows  — Support AI   d riven analysis pipelines to enhance speed and accuracy.  

• Data taxonomy compliance  — Coordinate with the Fusion Synchronization Center and Data Integration Manager to ensure consistent taxonomy.  

• Dashboard development  — Build dashboards and recurring reports that   provide   actionable insights to operators and decision makers.  

This position is contingent on award of contract.   

Qualifications

• Clearance:   TS/SCI   active  

• Years of Exp /Degree:  5 years with BS/BA, 3 years with MS/MA or 0 years with PhD  

• Technical stack : SQL, Python, R, cloud analytics platforms.  

• Intelligence data familiarity : OSINT, SIGINT, HUMINT, CEM.  

• Data engineering basics : ingestion, cleaning, structuring, tagging, repository maintenance.  

• Assessment frameworks : MOE, MOP, IO/PSYOP operational planning.  

• Visualization & reporting : dashboards, longitudinal datasets, trend analysis.  

• Security & compliance : Government data standards, SIGs, controlled data environments.  

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Target Salary Range

$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.