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Peraton

Runs and secures technology for federal agencies

Data Analytics SME

Business IntelligenceConfirmed live in the last 24 hours
Full-timeWashington, DC, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related technical discipline is required; equivalent experience may be considered.
  • At least 12 years of relevant experience in data analytics, business intelligence, data visualization, data engineering, or a related field; at least 10 years with an MS/MA; or at least 7 years with a Ph.D.
  • An active TS or Q clearance or higher is required, with ability to obtain Q/SCI.
  • Demonstrated experience designing and implementing enterprise-scale data analytics and visualization solutions.
  • Strong experience developing dashboards and interactive visualizations using one or more leading analytics or business intelligence platforms.
  • Experience working with large, complex, and heterogeneous datasets.
  • Strong SQL skills and demonstrated ability to work with relational and/or analytical data platforms.
  • Experience translating mission, operational, or business requirements into analytics solutions.
  • Demonstrated ability to work across multiple organizations, technical teams, and stakeholder groups.
  • Experience integrating data and analytics capabilities across disparate systems and organizational environments.
  • Strong understanding of data management concepts, including data quality, metadata, data governance, interoperability, data standards, and data sharing.
  • Ability to operate independently as an SME while collaborating effectively within multidisciplinary teams.

Responsibilities

  • Serve as a Data Analytics SME supporting the design, development, deployment, and sustainment of enterprise analytics capabilities across the customer's data landscape.
  • Analyze complex, heterogeneous datasets to identify trends, relationships, anomalies, and mission-relevant insights.
  • Design and develop intuitive, scalable dashboards, visualizations, analytic products, and decision-support tools tailored to diverse mission and leadership requirements.
  • Translate complex business and mission requirements into technical analytics solutions, data products, visualization strategies, and measurable outcomes.
  • Collaborate with multiple customer organizations and mission stakeholders to identify opportunities to integrate and standardize analytics capabilities across organizational boundaries.
  • Coordinate with other government and contractor offices to promote adoption and integration of common analytics tools, data standards, frameworks, and IC Data Ecosystem toolkits.
  • Support efforts to improve data interoperability and shareability across the customer and its IC partners.
  • Develop and implement repeatable approaches for integrating data from disparate systems, repositories, platforms, and organizational domains.
  • Identify data quality, governance, metadata, accessibility, and interoperability challenges and recommend solutions to improve the overall analytics environment.
  • Help establish and enforce standards for analytics development, dashboard design, data visualization, data products, and analytic workflows.
  • Evaluate emerging analytics and visualization technologies and recommend capabilities that can improve mission effectiveness and operational efficiency.
  • Develop prototypes and proof-of-concept solutions to demonstrate new analytics capabilities and accelerate adoption.
  • Work closely with data engineers and platform teams to ensure analytics solutions are appropriately integrated with underlying data architectures and pipelines.
  • Support the development of reusable analytic components, templates, visualization standards, and toolkits that can be leveraged across multiple organizations.
  • Document analytics solutions, data dependencies, methodologies, technical requirements, and implementation approaches.
  • Brief technical and non-technical stakeholders, including senior government leadership, on analytics capabilities, findings, recommendations, and implementation strategies.
  • Serve as a trusted advisor to customer organizations on data analytics, visualization, dashboarding, and data interoperability.
  • Support cross-organizational working groups, technical exchanges, and communities of practice focused on enterprise analytics and IC data sharing.
  • Ensure all activities comply with applicable security, classification, data handling, and customer policies and procedures.

Desired Qualifications

  • Experience supporting the Intelligence Community, Department of Energy, or other U.S. Government mission environments.
  • Experience with IC data-sharing initiatives, enterprise data platforms, or mission data ecosystems.
  • Experience with data interoperability frameworks, common data models, metadata standards, APIs, or data exchange mechanisms.
  • Experience with cloud-based analytics and data platforms, including AWS, Azure, or other government cloud environments.
  • Experience developing reusable analytics frameworks, toolkits, APIs, or enterprise data products.

About the Company

Peraton

Runs and secures technology for federal agencies

Peraton builds and runs secure technology for American defense, intelligence, space, and civilian agencies, from military networks to satellite ground stations. In 2025, the Federal Aviation Administration chose it to manage the overhaul of the nation's air traffic control system, replacing copper wiring with fiber and upgrading radar and radios. Its engineers, many holding security clearances, run and defend agency networks and data centers, write mission software, and operate space and communications systems, and agencies pay for this work through multiyear contracts. Peraton was formed in 2017, when private-equity firm Veritas Capital bought Harris Corporation's government IT business, and is based in Reston, Virginia.

Company size
10,001+
Company stage
Grant
Total funding
$60M
Headquarters
Reston, VA
Founded
2017

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