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No Experience Artificial Intelligence Analyst Jobs

Booz Allen Hamilton

Intelligence Analyst

Linda, CA

$77K - $176K/yr

As an intelligence analyst, you use your specializedmilitary experience and your attention to ... 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

$70 - $95/hr

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

Macon-Bibb County, GA

Intelligence Analyst

GA · On-site

$48K/yr

Continuous Summary The Intelligence Analys t is responsible for performing work related to the ... No 02 Do you have at least two (2) years of administrative/analytical work experience in a law ...

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 ...

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ... Excellent problem-solving and analytical skills, with a keen eye for detail. * Strong communication ...

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No Experience Artificial Intelligence Analyst information

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$41K

$100.1K

$154.5K

How much do no experience artificial intelligence analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for no experience artificial intelligence analyst in the United States is $100,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between No Experience Artificial Intelligence Analyst vs Data Analyst?

AspectNo Experience Artificial Intelligence AnalystData Analyst
Required CredentialsEntry-level, often no certifications neededEntry-level, often no certifications needed
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, various industries
Employer & Industry UsageGrowing in AI-focused roles across industriesWidespread across multiple sectors
Search & Comparison IntentUnderstanding entry-level AI rolesUnderstanding entry-level data analysis roles

While both roles are entry-level and often require minimal certifications, the No Experience Artificial Intelligence Analyst focuses on AI-specific tasks like machine learning and AI model support, typically in tech-driven environments. In contrast, Data Analysts handle data collection, processing, and reporting across various industries. The roles differ mainly in their focus areas but share similarities in required skills and work settings.

Can I get a No Experience Artificial Intelligence Analyst job with no experience?

Entry-level Artificial Intelligence Analyst positions often do not require prior experience and may focus on foundational skills such as programming, data analysis, and understanding AI concepts. Candidates can improve their chances by gaining relevant certifications, completing online courses, and developing a basic understanding of tools like Python, machine learning frameworks, and data management. Employers may provide on-the-job training for suitable applicants.

What is the easiest artificial intelligence analyst job to get into?

Entry-level artificial intelligence analyst roles often require minimal experience and focus on basic data analysis, programming skills in languages like Python, and understanding of machine learning concepts. Positions such as junior AI analyst or AI support roles are typically easier to enter and may offer on-the-job training or certifications to build relevant skills.
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No Experience Artificial Intelligence Analyst jobs near you
Infographic showing various No Experience Artificial Intelligence Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $100,058 per year, or $48.1 per hour.

Artificial Intelligence

BridgeNexus Technologies Inc

Los Angeles, CA • On-site

Other

Posted 29 days ago

Job description

Hi, WE have below 2 positions with our direct client and both are hybrid position and kindly reply asap at your interest so I reach you immediately to schedule one round interview with client .
 
JOB 1:  AI Analyst with Healthcare Background
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client
JOB 2: AI ML Developer with Data Science experience
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client 
 
 
 
 
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Role
Job Description
1
AI Analyst with Healthcare Background
seeking an experienced Artificial Intelligence & Machine Learning (AI/ML) Systems Analyst to bridge the gap between business stakeholders, data scientists, AI/ML engineers, and technology teams. This role will be responsible for analyzing business problems, defining AI/ML solution requirements, evaluating data readiness, supporting model implementation, and ensuring AI solutions align with business objectives, regulatory requirements, and enterprise governance standards. The ideal candidate will possess strong analytical skills, healthcare domain knowledge, and experience working with AI, machine learning, and Generative AI technologies.
Key Responsibilities
Business & Systems Analysis
  • Collaborate with business stakeholders to identify opportunities for AI/ML-driven process improvements and automation.
  • Elicit, analyze, and document business, functional, and non-functional requirements.
  • Create user stories, process flows, use cases, data mappings, and acceptance criteria.
  • Translate business requirements into AI/ML solution specifications.
  • Support backlog grooming, sprint planning, and Agile delivery processes.
AI/ML Solution Analysis
  • Partner with AI/ML engineers and data scientists to define model objectives and success metrics.
  • Analyze data sources and determine data quality, completeness, and readiness for AI initiatives.
  • Support predictive analytics, recommendation systems, NLP, GenAI, and intelligent automation initiatives.
  • Evaluate AI model outputs and assist with validation, testing, explainability, and business adoption.
Data & Analytics

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