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Artificial Intelligence Data Analyst Jobs (NOW HIRING)

Sralab

Data Analyst II

Chicago, IL

Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine learning, artificial intelligence, data visualization, databases, Enterprise Data Warehouses, data models ...

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

As of Jul 24, 2026, the average yearly pay for artificial intelligence data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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 $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior data scientists, or machine learning directors with extensive experience and specialized skills. These positions often involve leadership, strategic decision-making, and advanced technical expertise, and they may require certifications or advanced degrees. Compensation at this level reflects significant responsibility and impact within organizations focused on artificial intelligence development and deployment.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to identify patterns and insights that support artificial intelligence models and decision-making. They often use tools like Python, R, and SQL, and have skills in data visualization and machine learning to improve AI systems' accuracy and performance.

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 the salary of an AI data analyst?

The average salary of an AI data analyst typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, data visualization, and programming tools like Python or R tend to earn higher salaries.

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.

Which 3 jobs will survive AI?

Artificial Intelligence Data Analysts are likely to continue to be in demand as they interpret AI outputs and ensure data quality. Jobs that require complex human judgment, such as healthcare professionals and skilled tradespeople, are also expected to persist. These roles involve critical thinking, emotional intelligence, and hands-on skills that AI cannot easily replicate.
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Artificial Intelligence Data Analyst jobs near you
Infographic showing various Artificial Intelligence Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Business Intelligence Data Analyst

Business Intelligence Data Analyst

hyve solutions

Fremont, CA • On-site

Full-time

Posted 19 days ago

Hyve Solutions rating

6.8

Company rating: 6.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

110th of 144 rated electronics manufacturers

Job description

@HYVE Solutions, missions to help customers, business partners, and employees achieve success through shared goals, strategies, resources and technology solutions.
Job Summary:
BI Analyst (Data-Focused)
Get Inspired by the Work You'll Do
  • Own the extraction, transformation, and validation of data from multiple sources to support business analysis and reporting
  • Write, optimize, and maintain complex SQL queries to power dashboards, reporting, and ad hoc analysis
  • Design and build scalable datasets and data models to support business domain.
  • Partner with business and technical teams to define data requirements and translate them into structured data solutions
  • Identify data quality issues, implement validation checks, and drive improvements in data integrity and reliability
  • Develop automated reporting and data pipelines to improve efficiency and reduce manual processes
  • Analyze large datasets to identify trends, patterns, and key business drivers, and translate findings into actionable insights
  • Create and maintain documentation for data models, transformations, and reporting logic

Qualifications
  • BA/BS degree with 1-3 years of relevant experience, or equivalent practical experience
  • Strong SQL skills, including experience with complex joins, window functions, and query optimization
  • Experience working with large, relational datasets and building data models for analytics
  • Proficiency in Microsoft Excel and experience with BI tools such as Power BI or similar
  • Strong analytical and problem-solving skills with the ability to translate business needs into data solutions
  • Familiarity with data warehousing concepts (e.g., Databricks/Hive/Snowflake schemas)
  • Experience with Microsoft Access or similar tools is a plus

@ HYVE Solutions, we believe employees are our greatest asset and we empower them to make a difference in our business. Diversity and inclusion make us all better. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

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