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Entry Level Artificial Intelligence Business Analyst Jobs

Lamons

Business Intelligence Analyst

Houston, TX · On-site

Coursework or certification in Business Intelligence, Data Analytics, Artificial Intelligence, Machine Learning, or Data Visualization. Work Experience * Required: Experience developing reports ...

Insilico Logix

NJ

Company Description Insilico Logix is an E-Verified, IT consulting company that specializes in Business Intelligence, JAVA, Business Analysis, Quality Assurance Analysis, Project Managers, and ...

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Entry Level Artificial Intelligence Business Analyst information

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

As of Aug 9, 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.

Business Analyst Wealth Management Face2 Face Interview Required

Volto USA

New York, NY • On-site

Contractor

Re-posted 7 days ago

Job description

Business Analyst – Wealth Management Job Description
REQUIREMENT_CITY - New York-Need to come to office 3 Days Week & Face2Face Interview Required
Role Overview
A Wealth Management Business Analyst bridges business needs and technology solutions within private banking, asset management, and financial advisory domains. The role focuses on analyzing business processes, gathering requirements, and delivering solutions that improve client portfolio management, regulatory compliance, and operational efficiency.
Key Responsibilities
1. Requirement Gathering & Analysis
Collaborate with stakeholders (portfolio managers, financial advisors, operations teams)
Elicit, analyze, and document:
Business requirements (BRDs)
Functional requirements (FRDs)
User stories and acceptance criteria
Conduct workshops, stakeholder interviews, and gap analysis
2. Wealth Management Domain Support
Understand core concepts:
Portfolio management
Asset allocation (Equities, Fixed Income, Alternatives)
Investment lifecycle
Risk profiling & suitability
Support systems like:
Portfolio management systems (PMS)
CRM platforms (Salesforce, Microsoft Dynamics)
Trading and order management systems (OMS)
3. Data Analysis & Reporting
Analyze financial data related to:
Client portfolios
Performance metrics (ROI, Alpha, Beta)
Risk analytics
Prepare dashboards and reports using tools like:
Excel, Power BI, Tableau
4. Functional Design & Solutioning
Translate business requirements into system specifications
Work closely with:
Developers
QA teams
Product owners
Define workflows, business rules, and use cases
Skills: Digital : Artificial Intelligence(AI)~BFS : Wealth Management~Finance and Accounting~EIS : Management of Clients (Direct Materials)~Capital Markets - Investment Banking
Experience Required: 10 & Above