Thomson Reuters
Analyst
$67K–$124K
United States of America, McLean, Virginia · Hybrid · Full-time · Posted Oct 28, 2026
- Experience
- At least 3 years in research and analysis, including at least 2 years using public records, open-source information, and/or social media.
- Education
- Bachelor’s degree; Master’s degree preferred.
- Visa sponsorship
- U.S. citizenship is essential; ability to obtain and maintain a U.S. national security clearance is required.
About the job
Conduct research and analysis using open-source information and proprietary data to produce actionable assessments and reports for clients in the national security, military, law enforcement, and private sectors.
What you'll do
- Support clients on-site by answering inquiries, researching issues, preparing ad hoc reports, and advising on analytic methods.
- Analyze public records, proprietary data, social media, and other open-source information, and communicate findings through reports and data visualizations.
- Collaborate with clients and analysts, and contribute to analytic practices through mentorship and training.
What they ask for
- At least 3 years of work experience in research and analysis.
- At least 2 years of experience using public records, open-source information, and/or social media for research and analysis.
- Bachelor’s degree; strong reading, writing, critical-thinking, source-evaluation, and research database skills.
- U.S. citizenship; ability to complete required background investigations and obtain and maintain a U.S. national security clearance.
Nice to have
- Master’s degree; background in risk assessments, financial risk reviews, and/or KYC reviews.
- Experience with AI and agentic AI tools for analytic workflows, or familiarity with corporate structures, investment deals, or DoW supply chains.
Pay
$66,900 USD - $124,300 USD (base salary)
Tools
TRSS proprietary data and technology solutions, data visualization technologies, open-source and research database tools, AI and agentic AI tools
AI focus
Preferred experience using AI and agentic AI tools for research, data extraction, synthesis, and task automation, with output validation, human oversight, and data protection.
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