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Entry Level Artificial Intelligence Business Analyst Jobs

Dhalite Inc.

Entry- level Business Analyst

Chicago, IL · On-site

We are seeking a motivated Entry-Level Business Analyst to join our growing team. This is an ... in business intelligence, data analysis, or reporting • Strong analytical and problem-solving ...

New

Capco

Business Analyst - OpenLink - Houston

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Business Analyst - OpenLink Location: Houston, Texas | Practice Area: Business Consulting | Type ... HSA, FSA, commuter benefits, and employee discount programs Use of Artificial Intelligence in ...

Capco

ETRM Business Analyst - Power Trading

Houston, TX

  • Medical

  • Dental

  • Vision

  • Retirement

ETRM Business Analyst - Power Trading Location: Houston, Texas | Practice Area: Business Consulting ... HSA, FSA, commuter benefits, and employee discount programs Use of Artificial Intelligence in ...

Capco

Business Analyst - Retail Energy

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Business Analyst - Retail Energy Location: Washington D.C. | Practice Area: Business Consulting ... HSA, FSA, commuter benefits, and employee discount programs Use of Artificial Intelligence in ...

Capco

Business Analyst - Retail Energy

Houston, TX

  • Medical

  • Dental

  • Vision

  • Retirement

Business Analyst - Retail Energy Location: Houston, Texas | Practice Area: Business Consulting ... HSA, FSA, commuter benefits, and employee discount programs Use of Artificial Intelligence in ...

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

As of Aug 14, 2026, the average hourly pay for entry level artificial intelligence business analyst in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

How does an entry level artificial intelligence business analyst typically collaborate with technical and non-technical teams?

As an Entry Level AI Business Analyst, you'll frequently act as a bridge between technical teams (like data scientists and engineers) and business stakeholders. You'll help translate business goals into data-driven AI solutions by gathering requirements, documenting processes, and facilitating clear communication across teams. This means you'll attend meetings with both sides, clarify needs or constraints, and ensure that AI models are aligned with business objectives. Strong collaboration and communication skills are essential, as you'll regularly explain complex concepts in accessible language and gather feedback to refine project deliverables.

What does an entry level artificial intelligence business analyst do?

An Entry Level Artificial Intelligence (AI) Business Analyst helps organizations leverage AI technologies to solve business problems and improve processes. They work closely with data scientists, engineers, and business stakeholders to gather requirements, analyze data, and translate business needs into technical solutions. Their responsibilities often include researching AI trends, documenting business processes, and assisting in the implementation of AI-driven projects. This role is ideal for individuals who are interested in both technology and business strategy, and are looking to start a career in the rapidly growing AI sector.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence business analyst, and why are they important?

To thrive as an Entry Level Artificial Intelligence Business Analyst, you need a foundational understanding of data analysis, business processes, and basic AI concepts, generally supported by a degree in business, computer science, or a related field. Familiarity with analytics tools such as Excel, SQL, Power BI, or Tableau, and experience with project management or AI-related certifications like CBAP or AI Business School are beneficial. Strong communication, critical thinking, and problem-solving skills help bridge the gap between technical teams and business stakeholders. These abilities are vital for accurately translating business needs into actionable AI solutions and ensuring project alignment with organizational goals.

What is the difference between Entry Level Artificial Intelligence Business Analyst vs Data Analyst?

AspectEntry Level Artificial Intelligence Business AnalystData Analyst
Required CredentialsBachelor's in Business, Computer Science, or related; knowledge of AI conceptsBachelor's in Statistics, Mathematics, or related; proficiency in data tools
Work EnvironmentTech-focused teams, AI projects, business strategyData-focused teams, reporting, data visualization
Employer & Industry UsageTech companies, consulting firms, finance, healthcareRetail, marketing, finance, healthcare

While both roles analyze data, the Entry Level Artificial Intelligence Business Analyst focuses on integrating AI solutions into business processes, requiring knowledge of AI concepts. Data Analysts primarily interpret data to generate reports and insights. The AI Business Analyst often works closely with AI development teams, whereas Data Analysts focus on data management and visualization.

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Entry Level Artificial Intelligence Business Analyst jobs near you
Infographic showing various Entry Level Artificial Intelligence Business Analyst job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $80,350 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 yesterday

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

Apply