1

Artificial Intelligence Business Analyst Jobs (NOW HIRING)

next page

Showing results 1-20

Artificial Intelligence Business Analyst information

See salary details

$17

$47

$71

How much do artificial intelligence business analyst jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for artificial intelligence business analyst in the United States is $47.43, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $59.38 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Artificial Intelligence Business Analysts will continue to be essential as they interpret AI data, develop strategies, and communicate insights to stakeholders. Roles requiring complex problem-solving, emotional intelligence, and domain expertise—such as healthcare professionals, software developers, and data scientists—are also expected to persist despite AI advancements. These jobs rely on skills that complement AI technology and require human judgment and creativity.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI executive, lead data scientist, or AI research director, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve strategic decision-making, managing large teams, and overseeing AI projects with significant business impact, and they often offer compensation in the upper six figures or higher.

What is an AI Business Analyst?

An AI Business Analyst is a professional who evaluates business processes and identifies opportunities to implement artificial intelligence solutions. They analyze data, gather requirements, and collaborate with technical teams to develop AI-driven strategies, often requiring skills in data analysis, machine learning concepts, and communication. Their role helps organizations leverage AI to improve efficiency and decision-making.

What is an Artificial Intelligence Business Analyst job?

An Artificial Intelligence Business Analyst bridges the gap between business needs and AI solutions. They analyze business processes, identify opportunities for AI implementation, and collaborate with data scientists and engineers to develop AI-driven solutions. Their role includes gathering and interpreting data, defining requirements, and ensuring AI models align with business goals. They also monitor AI performance and provide insights for continuous improvement. Strong analytical skills, knowledge of AI technologies, and business acumen are essential for success in this role.

What are some typical challenges faced by Artificial Intelligence Business Analysts in their daily work?

Artificial Intelligence Business Analysts often face challenges such as translating complex AI model outputs into actionable business insights and ensuring stakeholder alignment on project goals. They may also grapple with data quality issues and the need to balance technical feasibility with business requirements. Collaboration with data scientists, engineers, and non-technical stakeholders is frequent, requiring clear communication and adaptability. Success often depends on proactively identifying potential roadblocks, advocating for data-driven solutions, and maintaining an agile approach to evolving project needs.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Business Analyst position, and why are they important?

To thrive as an Artificial Intelligence Business Analyst, you need a strong background in data analysis, business process mapping, and foundational AI concepts, often supported by a degree in business, computer science, or a related field. Familiarity with tools such as SQL, Python, Tableau, or Power BI, along with certifications in business analysis or data analytics, are valuable assets. Strong communication, problem-solving, and stakeholder management skills help you translate technical findings into business strategies. These skills are crucial for effectively bridging the gap between data science teams and business stakeholders, ensuring AI solutions align with organizational goals.

How much does an AI Business Analyst make?

The average salary for an AI Business Analyst typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong data analysis, machine learning, and business skills can earn higher salaries, especially with certifications or advanced degrees.
More about Artificial Intelligence Business Analyst jobs
What cities are hiring for Artificial Intelligence Business Analyst jobs? Cities with the most Artificial Intelligence Business Analyst job openings:
What are the most commonly searched types of Artificial Intelligence Business Analyst jobs? The most popular types of Artificial Intelligence Business Analyst jobs are:
What states have the most Artificial Intelligence Business Analyst jobs? States with the most job openings for Artificial Intelligence Business Analyst jobs include:
Infographic showing various Artificial Intelligence Business Analyst job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,662 per year, or $47.4 per hour.

Artificial Intelligence Business Systems Analyst

Carrier Sales & Distribution LLC

Knightdale, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 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