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$136K

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

As of Jul 1, 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 June 2026, with employment types broken down into 1% Internship, 59% Full Time, 37% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Head of Artificial Intelligence & Data Intelligence

Head of Artificial Intelligence & Data Intelligence

AHS

New York, NY • On-site

Full-time

Posted 6 days ago

Job description

AHS is seeking a visionary and highly skilled Head of Artificial Intelligence & Data Intelligence to lead our AI and data initiatives. In this executive role, you will drive innovation through advanced data analytics, machine learning, and AI technologies to support business strategies, optimize operations, and enhance decision-making processes across the organization. You will collaborate with cross-functional teams to identify opportunities, develop AI-driven solutions, and maintain data governance standards.
Key Responsibilities
  • Develop and execute the AI and data intelligence strategy in alignment with company goals.
  • Lead teams of data scientists, AI engineers, and analysts to design, develop, and deploy AI models and data solutions.
  • Oversee the collection, processing, and analysis of large datasets to extract actionable insights.
  • Promote the adoption of AI and analytics tools across departments to improve efficiency and innovation.
  • Ensure data quality, compliance with data privacy regulations, and ethical AI practices.
  • Collaborate with IT and business leaders to integrate AI solutions into existing systems and workflows.
  • Stay abreast of emerging AI and data technologies and industry best practices.
  • Present insights and strategic recommendations to senior leadership and stakeholders.

Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field; PhD preferred.
  • 8+ years of experience in AI, data science, or data engineering roles, with at least 3 years in a leadership capacity.
  • Proven expertise in machine learning, deep learning, natural language processing, and data analytics.
  • Strong programming skills in Python, R, or similar languages.
  • Experience with AI frameworks and big data technologies (e.g., TensorFlow, PyTorch, Hadoop, Spark).
  • Demonstrated ability to lead and manage cross-functional teams.
  • Excellent communication and presentation skills, capable of translating complex data concepts to business audiences.
  • Solid understanding of data governance, privacy laws, and ethical considerations in AI.
  • Strategic mindset with a results-oriented approach.
  • Experience in real estate or related industries is a plus.

Benefits
  • Why Join AHS?
    • Innovative Environment: Be part of a forward-thinking company that embraces innovation and creativity in the luxury real estate market.
    • Career Advancement: Enjoy opportunities for professional growth and development, with a clear path for career progression.
    • Collaborative Culture: Join a team-oriented environment where collaboration and mutual support are highly
    • Competitive Compensation: Receive a competitive salary and benefits package that rewards your hard work and dedication.
    • Work-Life Balance: Enjoy a supportive work environment that values work-life balance and employee well-being.
  • Please Note: Due to the high volume of applications we receive, only shortlisted candidates will be contacted. We appreciate your understanding.

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