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Entry Level Artificial Intelligence Analyst Jobs

Trellix

Senior Threat Intelligence Analyst

Reston, VA · On-site

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

3M HEALTHCARE

Intelligence Analyst

San Angelo, TX · On-site

$54.70 - $112/hr

Intelligence Analyst Job Category: Intelligence Time Type: Full time Minimum Clearance Required to ... entry level training at Goodfellow AFB. The developers must have an in-depth knowledge of ...

Wisconsin Public Service Corporation

$68 - $136/hr

Artificial Intelligence (AI) Applications Analyst WEC Business Services LLC, a subsidiary of WEC Energy Group, is seeking a Artificial Intelligence (AI) Applications Analyst in our Milwaukee ...

L3HHCM20

Intern , Artificial Intelligence

Melbourne, FL · On-site +1

$22.50 - $41/hr

Intern,Artificial Intelligence Job Code: 43406 Job Location:Melbourne, FL or Rochester, NY Job ... Perform data curation and exploratory data analysis * Support proper regression testing, validation ...

L3HHCM20

Intern , Artificial Intelligence

Rochester, NY · On-site +1

$22.50 - $41/hr

Intern,Artificial Intelligence Job Code: 43406 Job Location:Melbourne, FL or Rochester, NY Job ... Perform data curation and exploratory data analysis * Support proper regression testing, validation ...

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

As of Sep 5, 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 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.

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 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 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 cities are hiring for Entry Level Artificial Intelligence Analyst jobs?

Cities with the most Entry Level Artificial Intelligence Analyst job openings:

What are the most commonly searched types of Artificial Intelligence Analyst jobs?

The most popular types of Artificial Intelligence Analyst jobs are:

What states have the most Entry Level Artificial Intelligence Analyst jobs?

States with the most job openings for Entry Level Artificial Intelligence Analyst jobs include:

Entry Level Artificial Intelligence Analyst jobs near you

Business Intelligence Analyst I, II, or Senior

Essentia Health

Duluth, MN

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday

New

Essentia Health rating

7.0

Company rating: 7.0 out of 10

Based on 212 frontline employees who took The Breakroom Quiz

422nd of 898 rated healthcare providers

Job description

Building Location:Peerless BuildingDepartment:1006710 EA CLINICAL SERVICES SUPPORT - EH SSJob Description:The Business Intelligence Analyst II serves as an experienced reporting and analytics resource for enterprise applications. This position independently develops dashboards, reports, extracts, analytic products, and semantic models. The Business Intelligence Analyst II applies sound data modeling, visualization, data quality, and documentation practices and contributes to analytics standards and governance. This role may serve as a subject matter expert for specific applications, data domains, business processes, or reporting platforms.Education Qualifications:

The Business Intelligence Analyst II is skilled at translating business questions into technical requirements and organizing quantitative information to illuminate trends, support decision-making, and create actionable data.

Key Responsibilities:

  • Lead discovery sessions and requirements-gathering activities with clinical, operational, financial, administrative, and technical stakeholders.

  • Translate complex requirements into reporting specifications, technical designs, data models, semantic models, and analytics solutions.

  • Independently develop and support dashboards, reports, extracts, scorecards, and analytic applications.

  • Design, develop, and maintain Tableau or Power BI reports and semantic models, or Epic analytics reports; relationships, hierarchies, perspectives, and display folders; reusable DAX measures; Helps with administration of workspace permissions; performance optimization; and deployment procedures.

  • Use and contribute to governed enterprise semantic models, certified datasets, shared metrics, and standardized business definitions.

  • Develop intermediate to advanced SQL queries and perform data profiling, reconciliation, and root-cause analysis.

  • Collaborate with data engineering, analytics engineering, application support, and enterprise architecture teams to identify source systems, data elements, integration requirements, and data quality issues.

  • Assess the quality, completeness, timeliness, and usability of data used in reporting and analytics products.

  • Create and maintain definitions for metrics, KPIs, dimensions, filters, business rules, and calculated measures.

  • Develop and support conversational analytics experiences using approved tools such as Power BI Q&A, Microsoft Copilot, natural-language interfaces, or other internal comparable capabilities.

  • Validate AI-generated or natural-language responses for accuracy, context, security, and appropriate interpretation.

  • Recommend appropriate reporting and analytics tools based on user needs, data characteristics, performance, security, usability, and maintainability.

  • Create technical documentation, report specifications, data dictionaries, lineage documentation, support procedures, and end-user materials.

  • Participate in analytics governance, data stewardship, standards, and community-of-practice activities.

  • Provide peer review, coaching, and technical guidance to Business Intelligence Analyst I staff.

  • Lead testing, implementation, release, and post-production support for assigned analytics products.

  • Troubleshoot complex reporting, data, access, performance, and application-related issues.

  • Follow organizational policies related to privacy, security, HIPAA, data governance, accessibility, and responsible use of artificial intelligence.

  • Preferred Qualifications
  • Experience with Power BI semantic models, DAX, Power Query, deployment pipelines, workspaces, gateways, row-level security, and performance tuning.
  • Experience with Microsoft Fabric, Azure Analysis Services, Power BI Premium, or related analytics platforms.
  • Experience with Epic Clarity, Caboodle, Cogito Suite, Reporting Workbench, Radar Dashboards, Registries, Healthy Planet, or Slicer/Dicer.
  • Experience developing or managing enterprise metric definitions, data dictionaries, business glossaries, or data lineage.
  • Experience implementing conversational analytics or natural-language query capabilities.
  • Experience with data quality frameworks, automated testing, metadata management, or analytics engineering practices.
  • Experience with version control, Agile delivery, continuous improvement, or release management.
  • Healthcare analytics experience in clinical, operational, financial, quality, population health, or revenue cycle domains.
  • Epic reporting or analytics certification.
  • Experience mentoring or providing technical leadership to other analysts.
  • Demonstrated experience developing reports, dashboards, extracts, or analytics products using one or more enterprise business intelligence platforms.
  • Proficiency with SQL and relational data concepts.
  • Demonstrated experience with semantic models, or governed reporting datasets.
  • Experience with Tableau, Power BI or a comparable enterprise analytics platform.
  • Experience creating calculations, measures, filters, dashboards, and visualizations.
  • Experience translating stakeholder requirements into technical designs and production-ready analytics solutions.
  • Experience with data validation, troubleshooting, performance analysis, and root-cause investigation.
  • Strong written, verbal, presentation, and stakeholder-management skills.
  • Ability to work independently and collaboratively across technical, clinical, operational, and administrative teams.
  • Working knowledge of data privacy, security, HIPAA, analytics governance, and responsible use of AI-enabled analytics.
Licensure/CertificationQualifications:

Required Experience:


5 years experience in data development, data analysis, report programming, Cogito Suite. Includes a foundational understanding of relational data models or application toolset foundations.


Prior experience with business intelligence tools. Examples include, but are not limited to: Epic Cogito Suite, Reporting Workbench, Radar Dashboards, Registries, Healthy Planet, Slicer/Dicer, Clarity/Caboodle Data Model, Crystal Reports, WEBi, SQL, Tableau, Qlik, Python, R or other analytic toolsets.

Bachelor's degree in Business, Computer Science, Management Information Systems, Mathematics, Statistics, or technology/healthcare related field.

FTE:1

Possible Remote/Hybrid Option:

RemoteShift Rotation:Day Rotation (United States of America)Shift Start Time:8:00 AMShift End Time:4:30 PMWeekends:Holidays:NoCall Obligation:NoUnion:Union Posting Deadline:

Compensation Range:

$72,716.80 - $109,075.20Employee Benefits at Essentia Health: At Essentia Health, we're committed to supporting your well-being, growth, and work-life balance. Our comprehensive benefits include medical, dental, vision, life, and disability insurance, along with supplemental options to fit your needs. We offer a 401(k) plan with employer contributions to help you plan for the future, and we invest in your professional development through training, tuition reimbursement, and educational programs. To help you thrive both at work and at home, we provide flexible scheduling, generous time off, and wellness resources focused on your physical, mental, and emotional health. Please note that benefit eligibility may vary. For full details, refer to your benefit summary or contact our HR Service Center at (218) 576-0000.

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About Essentia Health

Sourced by ZipRecruiter

Headquartered in Duluth, Minnesota, Essentia Health combines the strengths and talents of 13,500 employees, including 3,500 registered nurses & licensed practical nurses, who serve our patients and communities through the mission of being called to make a healthy difference in people's lives. Essentia Health, which includes many Catholic facilities, is guided by the values of Quality, Hospitality, Respect, Joy, Justice, Stewardship and Teamwork. The organization lives out its mission by having a patient-centered focus at 14 hospitals, 70 clinics, six long-term care facilities, three assisted living facilities, three independent living facilities, five ambulance services and one research institute.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Duluth, MN, US

Year founded

2004

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