Security-Cleared Data Analytics SME - Dashboards Leader

Peraton; Washington (District of Columbia); On-site; USD 146,000 - 234,000; Full time

Job summary

Peraton is seeking an experienced Data Analytics Specialist / SME to lead the design, development, deployment, and sustainment of data analytics and dashboard solutions for a classified government contract. The role spans multiple organizations and requires collaboration with government stakeholders, data engineers, developers, and technical teams.

The ideal candidate has hands-on analytics and strong SQL, with experience building scalable visualizations and data products, able to operate in a

Qualifications

• Bachelor's degree in Data Science, CS, IS, Statistics, Math, Engineering, or related discipline.
• 12+ years in data analytics, BI, data visualization or data engineering; MS/MA required; PhD preferred.
• Active TS or Q clearance or higher is required; ability to obtain Q/SCI.

Responsibilities

• Lead design, development, deployment, and sustainment of enterprise analytics across the data landscape.
• Analyze complex datasets to identify trends, relationships, and mission‑relevant insights.
• Design scalable dashboards and visualizations tailored to leadership needs.
• Collaborate with government and contractor teams to standardize analytics tools and data
• Ensure analytics align with security, classification, and data handling policies.

Skills

Data analytics

Dashboard design

SQL

Stakeholder communication

Enterprise analytics

Data governance

Data interoperability

Problem solving

SME leadership

Education

Bachelor's degree in a technical discipline

MS/MA in a relevant field

Ph.D.

Tools

SQL databases

BI dashboards tools

Cloud platforms (AWS/Azure)

Job description

Peraton is seeking an experienced Data Analytics Specialist / SME to lead the design, development, deployment, and sustainment of data analytics and dashboard solutions for a classified government contract. The role spans multiple organizations and requires collaboration with government stakeholders, data engineers, developers, and technical teams.

The ideal candidate has hands-on analytics and strong SQL, with experience building scalable visualizations and data products, able to operate in a