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Artificial Intelligence Data Analyst Jobs in Raleigh, NC

Kanak Elite Services Inc

Data and AI Analyst

Cary, NC · On-site

Cary, NC (Hybrid) Duration: Long term Technically skilled Data and AI Analyst to support the responsible and innovative use of data and artificial intelligence across the organization. This role ...

CYNET SYSTEMS

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Business intelligence. * Stakeholder collaboration. * Analytical problem-solving. Qualification And Education: * Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics ...

NC SECU

Financial Data Analyst II

Raleigh, NC · On-site

Business Intelligence Tools * Advanced Financial Accounting Concepts * Financial Statement Analysis Techniques Required Education : Bachelor's in Information Technology, Data Analytics, Accounting ...

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All JobsArtificial Intelligence Data Analyst JobsArtificial Intelligence Data Analyst Jobs in Raleigh, NC

Artificial Intelligence Data Analyst information

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$33.1K

$80.3K

$132.2K

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

As of Aug 1, 2026, the average yearly pay for artificial intelligence data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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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What job categories do people searching Artificial Intelligence Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Artificial Intelligence Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Artificial Intelligence Data Analyst jobs? Cities near Raleigh, NC with the most Artificial Intelligence Data Analyst job openings:
Artificial Intelligence Data Analyst jobs near you
Infographic showing various Artificial Intelligence Data Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% Internship, 61% Full Time, 35% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Artificial Intelligence Business Systems Analyst

Carrier Sales & Distribution LLC

Knightdale, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

AI Business Systems Analyst | Carrier Enterprise |
Company Description:
Carrier Enterprise (CE) is a premier national distributor specializing in residential and light commercial Heating, Ventilation, and Air Conditioning (HVAC) products, parts, and supplies. We serve licensed HVAC/R dealers and contractors, ensuring top-quality HVAC solutions across 28 states, Puerto Rico, the Caribbean, Latin America, Mexico, and Canada. With over 200+ locations, we are well-positioned to meet our customers' HVAC/R needs.
Company website:
www.carrierenterprise.com
AI Business Systems Analyst
The AI Business Systems Analyst drives and executes the complete lifecycle of AI initiatives while serving as a key integration contributor connecting AI capabilities to core enterprise technology platforms. This role bridges AI strategy with operational execution, ensuring that AI solutions deliver measurable business value and are seamlessly embedded within existing systems.
KEY RESPONSIBILITIES
  • Drive the full AI initiative lifecycle from intake and feasibility through integration, deployment, and post-launch optimization ensuring measurable business value and enterprise alignment
  • Facilitate cross-functional collaboration across business stakeholders, IT, and developers coordinating UAT, defect tracking, and user readiness throughout the SDLC
  • Identify, assess, and document RPA automation opportunities where AI is not the appropriate solution and coordinate implementation utilizing platforms like UiPath or Automation Anywhere
  • Translate business and SME input into structured AI workflow documentation, data flow architecture, and requirements specifications aligned to Salesforce
  • Contribute to KPI dashboards and performance reporting using Power BI, Tableau, Excel, and SQL supporting AI-assisted analytics including predictive insights and anomaly detection
  • Execute pre and post deployment testing to validate operational viability, data integrity, user readiness, and compliance while tracking AI capabilities for continuous improvement
  • Develop and maintain scalable AI workflow documentation, integration standards, and technical specifications to support team knowledge continuity
  • Translate complex technical concepts into clear actionable business language while facilitating stakeholder engagement across multiple parallel AI initiatives

REQUIRED QUALIFICATIONS
  • 2+ years of hands-on experience as an AI-focused Business Analyst with direct, demonstrable involvement in AI initiatives, RPA automation, and enterprise digital transformation with a proven ability to translate complex technical concepts into clear, actionable business language. Candidates without AI project experience will not be considered.
  • Hands-on experience with RPA platforms (UiPath, Automation Anywhere, or equivalent) and working knowledge of Salesforce CRM and cross-platform enterprise integration
  • Proficiency in Power BI, Tableau, Advanced Excel, and SQL with the ability to develop KPI dashboards and translate data into actionable business insights
  • Strong collaboration and communication skills with the ability to bridge technical and business teams while supporting SDLC deliverables in program like: Jira, Confluence, and Azure DevOps
  • Bachelor's degree in Artificial Intelligence related fields: AI Business Strategy, Data Science, or Machine Learning. Or Business Administration, Information System and AI experience.

PREFERRED QUALIFICATIONS
  • AI or data analytics certification or equivalent experience with demonstrated ability to evaluate when AI is and is not the appropriate solution
  • RPA certification in UiPath, Automation Anywhere, or equivalent with hands-on implementation experience and ability to recommend RPA or workflow automation when AI is not the right fit
  • Experience with complementary automation solutions including business rules engines, workflow automation, and process modeling tools such as BPMN 2.0, UML, or Lean mapping
  • Exposure to cloud-based AI and automation platforms such as Microsoft Azure AI, AWS Machine Learning, or Google Cloud AI supporting scalable enterprise solutions
  • Prior experience in customer experience, contact center, or enterprise technology environments supporting AI and automation solution design from the business side
  • Familiarity with data governance, data lineage practices, and compliance considerations within complex AI and automation environments

Benefits:
  • Health Insurance
  • Health Savings Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Disability Insurance (Short-term and Long-term)
  • Employee Assistance Program (EAP)
  • Tuition Reimbursement & Professional Development
  • Paid Vacation & Sick time
  • Company Paid Holiday's
  • 401(k) Plan with Employer Match
  • Employee Discount Program
  • Company Paid Volunteer Time Off
  • Invitation to Apply

Full-time and part-time positions are available. To explore this exciting (insert position here) opportunity and other career opportunities at Carrier Enterprise, visit our careers page at www.carrierenterprise.com/careers. Learn more about our company and team.
Equal Opportunity Statement:
Carrier Enterprise, LLC is an Equal Opportunity Employer and does not discriminate on the basis of age, color, race, religion, disability, sex, or national origin. We support a diverse and inclusive workplace where we employ, retain, terminate, and otherwise treat all employees and job applicants on the basis of merit, qualifications, and competence.
Requirements
  • Bachelor's degree in business administration, Data Analytics, Information Systems, Computer Science, or related field; minimum 1-3 years in business analysis, systems integration, process improvement, or enterprise workflow systems
  • Must be eligible to work in the US without sponsorship)
  • Hands-on proficiency with Salesforce CRM configuration and integration; working knowledge of RPA platforms (UiPath, Automation Anywhere, or equivalent); AI, automation, or digital transformation experience strongly preferred
  • Advanced proficiency in process documentation, data flow mapping, requirements gathering, and business process modeling; strong ability to evaluate business cases, assess ROI, and translate requirements into technical specifications
  • Expertise with performance reporting tools (Power BI, Tableau, Excel), KPI development, and dashboard design; excellent facilitation and stakeholder management skills with ability to influence across functions without direct authority
  • Demonstrated ability to manage multiple platforms, exercise independent judgment on technical and business decisions, balance competing priorities, and thrive in fast-evolving AI environments with appropriate escalation

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