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Entry Level Intelligence Analyst Graduate Jobs in Baltimore, MD

Clear Ridge Defense

Senior CNO Developer/Analyst

Columbia, MD · On-site

$215K - $315K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

RIOT/FORGE/CNOQC graduate Additional Information Ranking #5 in Maryland and #7 in Government ... Cyber Intelligence & Operations Planning * Security Risk Analysis, Mitigation & Training All ...

Clear Ridge Defense

Senior CNO Developer/Analyst

Columbia, MD

$215K - $315K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

RIOT/FORGE/CNOQC graduate Additional Information Ranking #5 in Maryland and #7 in Government ... Cyber Intelligence & Operations Planning * Security Risk Analysis, Mitigation & Training All ...

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All JobsIntelligence Analyst Graduate JobsEntry Level Intelligence Analyst Graduate JobsEntry Level Intelligence Analyst Graduate Jobs in Baltimore, MD

Entry Level Intelligence Analyst Graduate information

See Baltimore, MD salary details

$40.7K

$99.4K

$153.5K

How much do entry level intelligence analyst graduate jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entry level intelligence analyst graduate in Baltimore, MD is $99,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $119,700.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Intelligence Analyst Graduate vs Junior Intelligence Analyst?

AspectEntry Level Intelligence Analyst GraduateJunior Intelligence Analyst
Required CredentialsBachelor's degree in related field, internship experienceBachelor's degree, some internship or entry-level experience
Work EnvironmentGovernment agencies, defense, private security firmsGovernment agencies, defense, private security firms
Employer & Industry UsageCommonly used for recent graduates entering intelligence rolesUsed for individuals with some work experience in intelligence

The main difference is that Entry Level Intelligence Analyst Graduates are typically recent graduates with limited work experience, focusing on learning and training. Junior Intelligence Analysts usually have some practical experience and can handle more responsibilities. Both roles are common in government and security sectors, but the graduate position is more entry-focused, while the junior role requires some foundational skills.

What does an entry level intelligence analyst graduate do?

An Entry Level Intelligence Analyst Graduate collects, analyzes, and interprets data to support decision-making within organizations, often in government, military, or private sectors. Their work involves researching information from various sources, identifying trends and threats, and preparing reports or briefings for senior analysts or decision-makers. They may also support ongoing investigations, contribute to risk assessments, and help develop strategies to address potential security issues. As recent graduates, they typically receive training and work under the guidance of experienced analysts to build their skills. This role is essential for ensuring that organizations stay informed about potential risks and can make strategic decisions based on timely and accurate intelligence.

How to get started as an entry level intelligence analyst graduate?

To start as an entry-level intelligence analyst graduate, develop strong analytical skills, proficiency in data analysis tools like Excel or SQL, and knowledge of intelligence concepts. Gaining relevant internships or certifications such as the Certified Intelligence Analyst (CIA) can improve job prospects, and applying to government agencies or security firms is common for entry-level roles.

What are the key skills and qualifications needed to thrive as an entry level intelligence analyst graduate?

To excel as an Entry Level Intelligence Analyst Graduate, you typically need a degree in intelligence studies, international relations, or a related field, along with strong analytical and research skills. Familiarity with data analysis software, intelligence databases, and tools such as GIS or open-source intelligence platforms is often required. Attention to detail, problem-solving ability, and effective written and verbal communication help distinguish top candidates. These skills are crucial for accurately interpreting data, producing actionable insights, and supporting informed decision-making in security or defense contexts.

What are some typical challenges faced by entry level intelligence analyst graduates during their first year on the job?

Entry level intelligence analyst graduates often encounter challenges such as adapting to the fast-paced nature of intelligence work, learning to synthesize large volumes of complex information, and developing strong analytical and communication skills. They may also need to quickly become familiar with specialized software and strict security protocols. Collaboration with experienced analysts and other departments is common, so effective teamwork and adaptability are essential for a smooth transition into the role.

What are popular job titles related to Entry Level Intelligence Analyst Graduate jobs in Baltimore, MD?

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Entry Level Intelligence Analyst Graduate jobs near you

2026 PhD Graduate - Machine Learning and Artificial Intelligence

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 73 rated research

Job description

Description
Do you enjoy exploring and analyzing data to find data-driven solution to complex problems?
Do you want to contribute to work that is crucial to maintaining our national security and strength?
Are you continuously searching for new ways to grow your knowledge and improve your skills?
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a related field, we would love to have you join our team! We are seeking a new PhD graduate with expertise in machine learning to support multi-disciplinary teams performing a variety of quantitative tasks for defense and national security applications. You will be joining a varied team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle. We believe in continually growing our capabilities and cultivating a work environment that embraces innovation, integrity, trust, and teamwork.
As a member of our team, you will...
  • Work with multi-disciplinary teams to support development of data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
  • Contribute to the full research and development lifecycle for emerging problems. This includes model and algorithm selection, experimentation, analysis, and presentation of results.
  • Apply appropriate statistical and machine learning expertise towards selecting modeling approaches for complex, real-world data.
  • Use internal funding opportunities to shape the direction of future research.
  • Communicate technical knowledge by articulating ideas clearly through papers and presentations to technical staff, management, and government decision makers.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a PhD in Data Science, Statistics, Physics, Mathematics, Computer Science or a related field.
  • Demonstrate strong interpersonal skills and the ability to work independently and on a team.
  • Have a solid understanding of the mathematical foundations of ML, including probability, statistics, and linear algebra.
  • Have experience using modern AI/ML libraries or frameworks (e.g., PyTorch, TensorFlow, or similar), with including adapting or extending methods for domain-specific problems.
  • Demonstrate experience selecting appropriate modeling techniques for supervised, unsupervised, or reinforcement learning problems in research or real-world settings, with an understanding of when and why they are appropriate.
  • Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You will go above and beyond our minimum requirements if you...
  • Have experience in project management or leading technical teams.
  • Have experience in writing technical proposals, particularly for government research projects.
  • Have experience mentoring students, teaching, or communicating complex technical concepts in academic, research, or professional settings.
  • Have experience applying machine learning methods to scientific, engineering, or data analysis problems, including areas such as computer vision, NLP, time-series analysis, or scientific machine learning.
  • Have contributed to peer-reviewed publications, technical reports, or presentations in statistics, machine learning, applied mathematics, or related fields.
  • Have experience understanding, developing, or adapting modern AI models and workflows, including large language models, for quantitative analysis and decision support.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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