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Artificial Intelligence Data Analyst Jobs in Addison, IL

Sralab

Data Analyst II

Chicago, IL

Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine learning, artificial intelligence, data visualization, databases, Enterprise Data Warehouses, data models ...

Shirley Ryan Ability Lab

Data Analyst II

Chicago, IL

Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine learning, artificial intelligence, data visualization, databases, Enterprise Data Warehouses, data models ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine learning, artificial intelligence, data visualization, databases, Enterprise Data Warehouses, data models ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

$71.20 - $124.50/hr

Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine learning, artificial intelligence, data visualization, databases, Enterprise Data Warehouses, data models ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine learning, artificial intelligence, data visualization, databases, Enterprise Data Warehouses, data models ...

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Artificial Intelligence Data Analyst information

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$34.1K

$82.8K

$136.3K

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

As of Aug 26, 2026, the average yearly pay for artificial intelligence data analyst in Addison, IL is $82,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,200.00 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 are the key skills and qualifications needed to thrive as an artificial intelligence data analyst?

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.

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.

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Artificial Intelligence Data Analyst jobs near you

Business Intelligence & Data Analyst

The LaSalle Group

Mount Prospect, IL • On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.

Job description

Business Intelligence & Data Analyst (MIS / AI / Data Operations Lead)
Mission/Purpose
The Business Intelligence & Data Analytics Analyst is a cross functional role responsible for transforming raw operational, engineering, financial, and commercial data into actionable business intelligence that drives decision making across the organization.
This role owns the full data lifecycle, from data extraction and structuring through analysis, reporting, and insight delivery. Unlike traditional analyst roles, this position independently accesses and works with data across systems without reliance on IT for routine data retrieval.
In addition to analytics, this role serves as a bridge between business operations and technical systems, supporting AI adoption, reporting automation, and coordination with outsourced IT resources.
Core Functional Areas
Data Extraction & Mining
  • Write and execute SQL queries (T SQL, SSMS, or equivalent) across ERP, CRM, and internal databases
  • Extract, join, and structure datasets from multiple systems
  • Independently retrieve data directly from source systems
  • Identify relevant datasets to support business questions

Data Management & Structuring
  • Clean, validate, and standardize datasets to ensure accuracy and consistency
  • Maintain data integrity across reporting platforms
  • Support data governance (definitions, mapping, system alignment)
  • Assist in maintaining data structures and data warehouse usability

Business Intelligence & Analytics
  • Analyze datasets using statistical methods, trend analysis, and modeling
  • Identify inefficiencies, patterns, and improvement opportunities
  • Translate data into actionable insights and business recommendations
  • Partner with leadership across operations, sales, engineering, and finance

Reporting, Dashboards & KPI Development
  • Build and maintain dashboards using Power BI and advanced Excel
  • Develop KPI tracking aligned with company goals
  • Create clear, user friendly reports for non technical stakeholders
  • Integrate reporting into ERP/CRM systems where applicable

AI Enablement & Automation Leadership
  • Support adoption and use of AI tools across the organization
  • Identify opportunities to automate reporting and workflows
  • Assist in developing AI driven tools, agents, or process improvements
  • Evaluate emerging technologies relevant to business operations

IT Liaison & Systems Support (Outsourced IT Coordination)
  • Act as internal point of contact for outsourced IT support provider
  • Manage and triage IT helpdesk tickets
  • Coordinate issue resolution with external partners
  • Support new hire onboarding setup: user accounts and system access, ERP/CRM permissions, email and hardware/software readiness

Strategic Impact Responsibilities
  • Improve reporting automation and reduce manual processes
  • Increase visibility into key business metrics across departments
  • Enable data driven decision making at all levels
  • Support continuous improvement initiatives with measurable insights
  • Bridge communication between technical systems and business teams

Skills & Qualifications
Education & Experience
  • Bachelor's degree in Data Analytics/Business Analytics, Management Information Systems (MIS), Computer Science/Engineering, or related field preferred
  • 4 to 5 years of experience preferred in data analytics, business intelligence, or related role
  • High potential candidates with 2 to 3 years of strong, relevant experience may be considered

Technical Skills
  • Advanced to Expert Excel, including Power Query (ETL, data transformation), Power Pivot (data modeling, multi source datasets), and complex formulas and large dataset management
  • Strong SQL proficiency (joins, filtering, query optimization)
  • Power BI (dashboard development and visualization)
  • Experience with ERP systems (Epicor or similar)
  • Experience with CRM systems (HubSpot or similar)
  • Understanding of relational databases and data structures

Preferred / Emerging Skills
  • Experience with data modeling or data warehouse concepts
  • Exposure to AI tools, automation platforms, or workflow optimization
  • Familiarity with scripting (Python, PowerShell, or similar) is a plus

Core Competencies
  • Strong analytical and critical thinking skills
  • Ability to translate business problems into data driven solutions
  • High attention to detail and data accuracy
  • Effective communication across technical and non technical audiences
  • Ability to manage multiple priorities in a fast paced environment
  • Curiosity driven mindset with a focus on continuous improvement
  • Strong ownership and accountability

Key Details
  • Salary Range: $95K - $115K
  • Benefits: Medical, dental, and vision insurance available
  • Work Environment: Onsite 5 days a week first 6 months and hybrid once this is complete

#LI-SK1
#DICE
LNTS
LaSalle Network is an Equal Opportunity Employer m/f/d/v.
LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search, LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.

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