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Open Source Intelligence Analyst Jobs in Vermont

... as publicly accessible, open-source and social media platforms. Successful law enforcement ... intelligence, law-enforcement support, or analytical programs; 3+ years managing multi-site ...

... as publicly accessible, open-source and social media platforms. Successful law enforcement ... intelligence, law-enforcement support, or analytical programs; 3+ years managing multi-site ...

Senior Security Engineer

Burlington, VT · On-site

$112K - $154K/yr

Driveroot cause analysis and communicate findings clearly to engineeringleadership * Buildand ... open-source security tooling or security research • Relevant certifications: OSCP, CSSLP, GWEB ...

... Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI ... data analysis and pattern recognition - Implementing AI solutions using open-source software ...

... Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics ... open-source projects or AI/ML publication Travel Requirements Not Specified Job Posting End Date ...

At least 10 years of cumulative experience performing investigations, including but not limited to social media and open-source information, research, targeting, and analysis. * Sound knowledge of ...

senior java developer

Vernon, VT

$57.50 - $73.25/hr

Involved in design sessions, did analysis on requirements, participated in task break downs and ... Expertise in various open source frameworks and tools like Adobe Flex SDK, JSF, Spring, Struts and ...

Showing results 41-60

Open Source Intelligence Analyst information

See Vermont salary details

$54.2K

$104.9K

$155.8K

How much do open source intelligence analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for open source intelligence analyst in Vermont is $104,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What does an Open Source Intelligence Analyst do?

An Open Source Intelligence (OSINT) Analyst collects, analyzes, and interprets publicly available data from sources like social media, news articles, forums, and government reports. They identify threats, investigate persons of interest, or support decision-making for organizations, law enforcement, or national security agencies. OSINT Analysts use specialized tools and techniques to gather, verify, and assess information while ensuring ethical and legal compliance. Their work helps organizations mitigate risks, track emerging trends, and enhance situational awareness.

What are the key skills and qualifications needed to thrive as an Open Source Intelligence Analyst?

To thrive as an Open Source Intelligence Analyst, you need strong analytical skills, attention to detail, and a solid understanding of information gathering and verification, typically supported by a relevant degree in intelligence studies, cybersecurity, or a related field. Experience with technical tools such as Maltego, Palantir, social media monitoring platforms, and certifications like Certified Cyber Intelligence Professional (CCIP) are highly valuable. Excellent critical thinking, written and verbal communication, and the ability to work independently or in teams are important soft skills. These competencies are crucial to accurately collect, assess, and present actionable intelligence from diverse open-source materials in support of organizational goals.

What are popular job titles related to Open Source Intelligence Analyst jobs in Vermont?

For Open Source Intelligence Analyst jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Open Source Intelligence Analyst jobs in Vermont look for?

The top searched job categories for Open Source Intelligence Analyst jobs in Vermont are:

Infographic showing various Open Source Intelligence Analyst job openings in Vermont as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,856 per year, or $50.4 per hour.

Data Scientist (Statistician) - Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Brattleboro, VT • On-site

$125K/yr

Full-time

Posted 6 days ago


Internal Revenue Service rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

130th of 295 rated public sector bodies


Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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