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Artificial Intelligence Data Analyst Jobs in Addison, IL

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 ...

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 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 ...

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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 30, 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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Sales Intelligence Data Analyst

Buyers Edge Platform, LLC

Chicago, IL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

The Sales Intelligence Data Analyst will leverage strong analytical skills to convert complex sales and operational data into actionable insights that inform decision-making across multiple sales teams. The role requires identifying data-driven opportunities and designing scalable reports and data models while collaborating closely with stakeholders. Familiarity with sales strategy and selling practices is a plus.

We are unable to offer work sponsorship for this role.

Who We Are:

Buyers Edge Platform is a leading digital procurement network and solutions provider for the foodservice industry, delivering savings, insights, and technology that help operators, distributors, and manufacturers succeed. Through its portfolio of solutions—including Digital Procurement Network, Fresh Services, Software Solutions, and Supply Chain Management—Buyers Edge is reshaping how the foodservice industry connects and thrives. At the heart of our work is a culture built on a passion for collaboration, technology, and helping foodservice business succeed.

Your Impact:

  • Analyze sales activity to identify upsell and cross-sell opportunities within existing BEPL accounts, driving revenue and increased customer retention as well as provide data-backed recommendations to support new customer acquisition strategies.
  • Support strategic planning initiatives by delivering analytical insights that enable the company to create competitive, motivating commission and incentive plans aligned with BEPL's business objectives.
  • Optimize the sales pipeline by monitoring performance metrics, identifying bottlenecks, and recommending data-driven improvements to increase conversion and efficiency.
  • Demonstrate strong knowledge of internal databases, with the ability to query, analyze, and summarize data to support ad-hoc analyses, recurring reports, and dashboards.
  • Build, maintain, and enhance reporting tools to track KPIs and trends; translate findings into clear, actionable insights for stakeholders including Sales Leadership and Sales Operations.
  • Improve scalability, accuracy, and efficiency of analytics workflows through effective use of SQL, Python, CRMA, and related tools.

About You: 

  • Education/Coursework in Data Analytics or related field
  • 2+ years industry (or related) work experience
  • Experience with: SQL, Python, Salesforce CRMA, Tableau
  • Proficient in Salesforce
  • Proficient with Microsoft Office, Expert in Microsoft Excel
  • Past involvement with Sales teams' analytics
  • Effectively manage, prioritize, organize team projects, tasks and initiatives
  • Is a team player: embraces collaboration and contributes to the team's overall success
  • Eagerness to independently solve problems and be a part of creating long term solutions
  • Strong communication skills to work with cross functional teams and within various levels of management in the organization
  • Expert data analytics skills and critical-thinking to analyze, summarize, communicate issues, and drive solutions for stakeholders
    • Ability to maintain organization with large sets of data
    • Extreme attention to detail
    • Strong strategic thinking and problem-solving skills
  • Drive to grow and learn within the Data Analytics & Business Intelligence field

Not sure you meet every qualification? Studies show that diverse applicants often hesitate to apply unless they check every box. At Buyers Edge Platform, we value authenticity and inclusion—if you're excited about the role, we encourage you to apply. You might be exactly who we're looking for!

What's in this for you:

  • Great benefits from day one. We offer medical, dental, vision, FSA, company-paid life insurance, and more—plus a 401(k) with company match.
  • Grow with us. Enjoy strong training, development, and competitive pay.
  • Work-life balance. Our flexible PTO policy lets you take time when you need it—no accrual required.

We welcome all.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.

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