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Peraton · 1 month ago

Risk Data Analyst

US-DC-Washington

Full-time

Onsite

Mid, Senior Level

$86K/yr - $138K/yr

6+ years exp

Peraton is a next-generation national security company that drives missions of consequence. The Risk Data Analyst role involves tracking, analyzing, and communicating risks and opportunities impacting critical national infrastructure, directly influencing the safety and efficiency of the National Airspace System.

Information TechnologyRobotics

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Maintain and update the Program Risk

Manage the risk register, dashboards, heat maps, trend analysis, and monthly reporting

Facilitate risk workshops and planning reviews with Integrated Product Teams

Coordinate with engineering, safety, quality, and field teams to identify and mitigate risks early

Track opportunities for schedule accelerators, process improvements, and value-add solutions

Integrate risk data into performance reviews and deliverables

Ensure proactive, embedded risk management across all regions and technical domains

Qualification

Risk management expertiseData visualization toolsAnalytical skillsPMPPMI-RMPInfrastructure experienceFAA processes familiarityStatistical techniquesCommunication skillsLeadership skills

Required

U.S. Citizenship Required

Must have the ability to obtain / maintain a Public Trust clearance

Bachelor's degree and 8 years of experience or Masters degree and 6 years or Associate's degree and 10 years experience or HS diploma/equivalent and 12 years experience

Experience in infrastructure, defense, or large-scale program environments

Expertise in risk identification, assessment, mitigation, and opportunity management

Strong analytical, communication, and leadership skills to influence stakeholders at all levels

Proficiency with enterprise-level risk management platforms and integration with scheduling, engineering, QA, and cost functions

Strong ability to leverage data visualization tools (Power BI, Tableau) and statistical techniques for trend analysis and forecasting