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Entry Level Artificial Intelligence Analyst Jobs

Booz Allen Hamilton

Intelligence Analyst

Linda, CA

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Intelligence Analyst The Opportunity: With all the information available today, it takes a skilled ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Lamons

Business Intelligence Analyst

Houston, TX · On-site

Coursework or certification in Business Intelligence, Data Analytics, Artificial Intelligence, Machine Learning, or Data Visualization. Work Experience * Required: Experience developing reports ...

Trellix

Senior Threat Intelligence Analyst

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government ...

Trellix

Senior Threat Intelligence Analyst

Reston, VA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government ...

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How much do entry level artificial intelligence analyst jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for entry level artificial intelligence analyst in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence analyst, and why are they important?

To thrive as an Entry Level Artificial Intelligence Analyst, you need a solid understanding of statistics, programming (such as Python), and foundational knowledge in machine learning concepts, generally supported by a relevant degree in computer science or related fields. Familiarity with technical tools like TensorFlow, scikit-learn, SQL, and data visualization platforms is typically expected. Analytical thinking, problem-solving abilities, and strong collaboration skills help individuals stand out in this role. These skills and qualities are crucial for effectively analyzing data, building models, and contributing to AI-driven projects in a team environment.

What are some typical projects or tasks an entry level artificial intelligence analyst might work on during their first year?

As an Entry Level Artificial Intelligence Analyst, you can expect to work on tasks such as cleaning and organizing datasets, creating basic machine learning models, assisting in data labeling, and supporting more senior analysts in model evaluation and testing. You'll likely collaborate closely with data scientists, software engineers, and business analysts to understand project requirements and contribute to solutions. These foundational projects help you build technical proficiency and gain exposure to real-world AI applications, setting the stage for more complex responsibilities as you grow in the role.

What is the difference between Entry Level Artificial Intelligence Analyst vs Data Analyst?

AspectEntry Level Artificial Intelligence AnalystData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI/ML toolsBachelor's in Statistics, Math, or related; proficiency in data visualization and SQL
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageOrganizations developing AI solutions, tech firmsOrganizations analyzing data for insights, reporting
Common Search & ComparisonYesYes

The Entry Level Artificial Intelligence Analyst focuses on developing and implementing AI models, requiring knowledge of machine learning and programming. In contrast, Data Analysts primarily interpret data, create reports, and support decision-making with statistical tools. While both roles analyze data, AI Analysts work more with algorithms and AI systems, often in tech-driven environments, whereas Data Analysts serve broader industries with data reporting and visualization tasks.

What does an entry level artificial intelligence analyst do?

An Entry Level Artificial Intelligence Analyst assists in developing, implementing, and maintaining AI models and systems. They typically work under the guidance of senior analysts or data scientists, helping to collect, clean, and analyze data, and support the deployment of machine learning algorithms. Their role may also involve monitoring AI system performance and preparing reports to communicate findings. This position provides foundational experience for a career in artificial intelligence, allowing analysts to learn core AI concepts and tools.
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Entry Level Artificial Intelligence Analyst jobs near you

Entry Level Artificial intelligence security specialist

SynergisticIT

Dover, DE • On-site

Other

Re-posted yesterday

Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level job positions.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, docker, jenkins, github, kubernates and REST API's experience. For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, sagemaker, python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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