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Artificial Intelligence Data Analyst Jobs in O Fallon, IL

As a Business Intelligence Data Analyst, you will play a key role in transforming data into ... meaningful insights that drive business decisions across the organization. You will work closely ...

Bachelor's degree in Finance, Information Systems, Data Analytics, or a related field. * 3-5 years of experience in financial analysis or business intelligence. * Strong expertise in Power BI ...

Bachelor's degree in Finance, Information Systems, Data Analytics, or a related field. * 3-5 years of experience in financial analysis or business intelligence. * Strong expertise in Power BI ...

As a Business Intelligence Analyst at Clayco, you will play a crucial role in analyzing complex ... Utilize data visualization best practices to create compelling and intuitive visual representations ...

As a Business Intelligence Analyst at Clayco, you will play a crucial role in analyzing complex ... Utilize data visualization best practices to create compelling and intuitive visual representations ...

As a Business Intelligence Analyst at Clayco, you will play a crucial role in analyzing complex ... Utilize data visualization best practices to create compelling and intuitive visual representations ...

As a Business Intelligence Analyst at Clayco, you will play a crucial role in analyzing complex ... Utilize data visualization best practices to create compelling and intuitive visual representations ...

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Showing results 1-20

Artificial Intelligence Data Analyst information

See O Fallon, IL salary details

$31.7K

$77.1K

$126.9K

How much do artificial intelligence data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for artificial intelligence data analyst in O Fallon, IL is $77,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Data Analyst, and why are they important?

To thrive as an Artificial Intelligence Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools such as Tableau or Power BI are typically required. Standout candidates possess problem-solving abilities, attention to detail, and effective communication skills for sharing complex insights with stakeholders. These skills and qualities are crucial for extracting actionable insights from large datasets and enabling data-driven decision-making in AI projects.

How does an Artificial Intelligence Data Analyst typically collaborate with data scientists and engineers on AI projects?

Artificial Intelligence Data Analysts play a key role in AI projects by preparing, cleaning, and interpreting large datasets that are used to train models. They work closely with data scientists to understand data requirements and help define relevant features, and they partner with engineers to ensure data pipelines are robust and scalable. Regular collaboration involves sharing insights, troubleshooting data issues, and providing feedback to refine model performance. This teamwork ensures that the AI models are both accurate and reliable for the intended business applications.

What is an Artificial Intelligence Data Analyst?

An Artificial Intelligence Data Analyst is a professional who collects, processes, and interprets large data sets to support the development and improvement of AI systems. They use statistical tools and machine learning techniques to analyze structured and unstructured data, identify trends, and generate insights that inform AI models. Their work often involves data cleaning, annotation, and validation to ensure data quality and accuracy. AI Data Analysts collaborate closely with data scientists, machine learning engineers, and other stakeholders to help organizations leverage data for smarter, automated decision-making.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level positions such as senior AI researchers, machine learning executives, or data science leaders in large organizations. These roles often require advanced skills in AI algorithms, programming, and data analysis, along with extensive experience and sometimes specialized certifications. Compensation at this level reflects significant responsibility, expertise, and impact within the organization.
What cities near O Fallon, IL are hiring for Artificial Intelligence Data Analyst jobs? Cities near O Fallon, IL with the most Artificial Intelligence Data Analyst job openings:
Infographic showing various Artificial Intelligence Data Analyst job openings in O Fallon, IL as of May 2026, with employment types broken down into 47% Full Time, 41% Part Time, 11% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $77,087 per year, or $37.1 per hour.
Part-time Faculty - Health Data Science & AI

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

$57.40K - $57.80K/yr

Part-time

Posted 19 days ago


Saint Louis University rating

8.7

Company rating: 8.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

37th of 528 rated colleges and universities


Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.
Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine
Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine
Position Summary
The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professor positions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.
Primary Responsibilities
Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:
  • Privacy, Ethics, Regulation & Policy
  • Introduction to Artificial Intelligence
  • Predictive Modeling and Machine Learning
  • Image Processing and Deep Learning
  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models
  • Reinforcement Learning for Clinical Decision Making
  • Telehealth & Telemedicine
  • AI for Precision Medicine & Genomics & Diagnostics
  • Research in Medicine

Additional responsibilities include:
  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications
Required:
  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.
  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.
  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).
  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:
  • Experience teaching graduate courses in AI, data science, or health informatics.
  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.
  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.
  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details
  • Type: Adjunct, non-tenure track
  • Rank: Assistant or Associate Professor (commensurate with qualifications)
  • Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available)
  • Start Date: Ongoing recruitment for upcoming academic terms

Application Instructions
Interested applicants should submit:
  • A cover letter outlining teaching interests and relevant experience
  • Curriculum vitae (CV)
  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.
Function
Faculty - Adjunct
Scheduled Weekly Hours:
20
Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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