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Entry Level Artificial Intelligence Analyst Jobs

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Intelligence Analyst - Washington, DC

Washington, DC · On-site

$60K - $100K/yr

PotomacWave is looking for an Intelligence Analyst to join our team supporting a Federal client in ... the entry-level in all-source analyses including relevant tradecraft. * The selection of an ...

LLNL

Intelligence Analyst: Z Program

Livermore, CA · On-site

$9.8K/wk

We seek creative, rigorous analysts with a demonstrated ability to evaluate complex technical ... systems, artificial intelligence and machine learning, autonomous systems and robotics ...

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

About the Opportunity: We are seeking an experienced Artificial Intelligence Engineer who ... Participate in error analysis, iterative model improvement, and performance tuning * Document code ...

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

As of Aug 16, 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

Business Intelligence Analysts

University of Utah

Campus, IL

Full-time

Retirement

Posted 10 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

385th of 618 rated colleges and universities

Job description

Details
Open Date 08/06/2026 Requisition Number PRN45823B Job Title Business Intelligence Analysts Working Title Business Intelligence Analysts Career Progression Track P00 Track Level P3 - Career, P2 - Developing, P1 - Entry Level Pro FLSA Code Professional Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area U of U Health - Academics Department 00847 - Hematology Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 70000-100000 Close Date 11/30/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
Business Intelligence Analysts
Join our team as a Healthcare Business Intelligence Analyst, where you will play a pivotal role in leveraging advanced data analytics tools and platforms to unlock valuable insights within the realm of healthcare. This position focuses on utilizing Python, SQL, Azure Machine Learning, Power BI, and Power Apps to extract, analyze, and visualize healthcare data, with a primary emphasis on advancing cancer research. We invite enthusiastic individuals with a strong foundation in data analysis and a passion for healthcare to apply and make a meaningful impact.
We seek individuals committed to advancing healthcare through innovative data analysis. If you are driven by a desire to make a difference and possess the requisite expertise, we encourage you to apply and be part of our mission to revolutionize healthcare through data driven insights.
1. Data Analysis and Reporting:
  • Utilize Python and SQL to extract, clean, and transform healthcare data.
  • Apply Azure Machine Learning tools and techniques for comprehensive data analysis.
  • Create insightful and interactive dashboards and reports using Power BI.
  • Develop and manage healthcare-related applications using Power Apps.
2. Project Collaboration:
  • Collaborate cross-functionally to analyze healthcare data and provide actionable insights.
  • Contribute to diverse healthcare research initiatives, with a primary focus on cancer research.
3. Quality and Compliance:
  • Ensure data accuracy and adherence to healthcare data regulations and standards.
4. Communication:
  • Effectively convey data findings and insights to non-technical stakeholders, fostering informed decision-making

This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

Learn more about the great benefits of working for University of Utah: benefits.utah.edu
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
Business Intelligence Analyst, I
Drive business decisions by providing quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers. Collect, aggregate, and analyze data from multiple internal and external sources to drive insights into business performance. Produce actionable reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems. Use analytics and metrics to improve processes and provide data-driven forecasts of potential costs, risks, and profits of new business initiatives. Communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance. Provide reporting solutions and respond to ad-hoc report requests across multiple business areas. May participate in the design and development of business intelligence reporting tools. Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment.
Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.
This is an Entry-Level position in the General Professional track.
Job Code: P30021

Business Intelligence Analyst, II
Drive business decisions by providing quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers. Collect, aggregate, and analyze data from multiple internal and external sources to drive insights into business performance. Produce actionable reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems. Use analytics and metrics to improve processes and provide data-driven forecasts of potential costs, risks, and profits of new business initiatives. Communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance. Provide reporting solutions and respond to ad-hoc report requests across multiple business areas. May participate in the design and development of business intelligence reporting tools. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.
Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
This is a Developing-Level position in the General Professional track.
Job Code: P30022

Business Intelligence Analyst, III
Drive business decisions by providing quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers. Collect, aggregate, and analyze data from multiple internal and external sources to drive insights into business performance. Produce actionable reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems. Use analytics and metrics to improve processes and provide data-driven forecasts of potential costs, risks, and profits of new business initiatives. Communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance. Provide reporting solutions and respond to ad-hoc report requests across multiple business areas. May participate in the design and development of business intelligence reporting tools. Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
This is a Career-Level position in the General Professional track.
Job Code: P30023
Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

Business Intelligence Analyst, I: Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.

Business Intelligence Analyst, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.

Business Intelligence Analyst, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.

Preferences
  • Proficiency in Python for data analysis.
  • Strong SQL querying abilities.
  • Hands-on experience with Azure Machine Learning.
  • Competency in creating dynamic data visualizations using Power BI.
  • Familiarity with developing applications through Power Apps.
  • Exceptional written and verbal communication skills.
  • Minimum of two years practical experience in data analysis, or equivalent research exposure.
Type Benefited Staff Special Instructions Summary Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850

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