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Data Analyst Ai Jobs in Romeoville, IL (NOW HIRING)

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps in services, excessive fees, benchmarks for improvements, elevated fiduciary exposure, financial ...

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work ... This role will report directly to the Director of Data Analytics, but will primarily focus on the ...

Senior GTM Data Analyst

Chicago, IL · On-site

$168K - $200K/yr

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling ... As part of the GTM Analytics team, you will be the data partner for Fin's Mindshare function - the ...

... AI, operations, market research, and growth-focused workstreams. THE ROLE As a Data Platform ... You will turn ambiguous information into clear research, structured analysis, prioritized target ...

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Data Analyst Ai information

See Romeoville, IL salary details

$34.7K

$84.3K

$138.7K

How much do data analyst ai jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analyst ai in Romeoville, IL is $84,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,900.00 per year, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

What are popular job titles related to Data Analyst Ai jobs in Romeoville, IL?

For Data Analyst Ai jobs in Romeoville, IL, the most frequently searched job titles are:

What job categories do people searching Data Analyst Ai jobs in Romeoville, IL look for?

The top searched job categories for Data Analyst Ai jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Data Analyst Ai jobs?

Cities near Romeoville, IL with the most Data Analyst Ai job openings:

Infographic showing various Data Analyst Ai job openings in Romeoville, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $84,261 per year, or $40.5 per hour.

Senior Data Analyst - Gaming Analytics

Accel Entertainment

Chicago, IL • On-site

$100 - $110/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Accel Entertainment rating

6.7

Company rating: 6.7 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

191st of 281 rated repair and maintenance companies


Job description

About UsAccel Entertainment, Inc. (NYSE: ACEL) is a growing provider of locals-focused gaming and one of the largest terminal operators in the United States, supporting more than 29,000 electronic gaming terminals in nearly 4,700 third-party local and regional establishments and 20 self-operated gaming locations across ten states. Through exclusive long-term contracts, Accel serves licensed non-casino locations including bars, restaurants, convenience stores, truck stops, gaming cafes, and fraternal and veteran establishments.Accel provides its local partners with a turnkey, full-service, capital-efficient gaming solution that encompasses manufacturing, content, payments, loyalty, 24/7 customer service, data analysis and reporting, and cash logistics. The Company’s racino, Fairmount Park - Casino & Racing, features live racing, electronic gaming machines, live table games, food and beverage amenities, and pari-mutuel betting.Job Description:Position Basics:Based in our Burr Ridge or Chicago (West Loop/Fulton Market) OfficeHybrid Schedule, 4 days in-office, 1 day remoteFlexible work scheduleThis role interacts directly with Executive leadershipBase Salary $100,000-$110,000 with 10% annual bonus3 years Data Analysis experience as well as relevant Bachelors degree required, equivalent experience may be consideredProficiency in Visualization Tools required (PowerBI, SQL, & Tableu)Preferred Experience: Predictive Modeling, Player Loyalty or Gaming Content AnalysisCompetitive benefits - health insurance inc. vision and dental; 401(k) w/ match; PTO + paid holidays; and additional total rewardsPosition SummaryWe are seeking a Sr. Data Analyst for a highly visible position within the Data Analytics team at Accel Entertainment. This role serves as a key analytics resource responsible for evaluating gaming machine performance, gaming software behavior, route and market activity, operational trends, and enterprise KPIs. The successful candidate will design efficient reporting, testing, and analytical solutions that help measure, explain, improve, and predict performance across the business. This position will partner closely with Operations, Product, IT, and corporate data management teams to ensure decision makers have accurate, timely, and actionable insights.Role FocusAnalyze gaming machine performance, software outcomes, operational trends, route performance, and market-level activity to identify opportunities for revenue growth, efficiency, and improved decision making.Use T-SQL /SQL Server Management Studio (SSMS) to query, validate, transform, and analyze data from multiple operational and enterprise sources.Build and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or comparable visualization tools.Leverage AI tools responsibly to accelerate exploratory analysis, generate deeper hypotheses, summarize complex patterns, and improve the quality and speed of analytical deliverables.Essential Duties and ResponsibilitiesInterpret data and analyze results using statistical and analytical techniques to support recurring reporting, ad hoc analyses, business reviews, and strategic initiatives.Develop, maintain, and optimize T-SQL queries, stored procedures, data extracts, and analytical datasets using SSMS and related SQL Server tools.Analyze gaming machine data, software events, location performance, route trends, game performance, player behavior indicators, and operational metrics to identify patterns, risks, and opportunities.Create clear, accurate, and scalable dashboards and reports using Power BI, Tableau, or similar tools to communicate trends, KPIs, and recommendations to technical and non-technical audiences.Partner with IT and data management teams to coordinate the collection, validation, and documentation of operational data from multiple source systems.Support test design, measurement, and post-implementation analysis for gaming software changes, machine configurations, market activities, product initiatives, and process improvements.Identify, maintain, and measure operational KPIs, including the tracking of strategic pillars, initiatives, and performance improvement opportunities.Use AI-enabled tools and workflows to support deep analysis, anomaly detection, pattern discovery, data summarization, code assistance, and scenario exploration while maintaining appropriate data governance and validation standards.Document analytical methods, business logic, data definitions, assumptions, and internal controls to promote consistency, auditability, and repeatability.Translate complex analytical findings into concise insights, business implications, and recommended actions for management and cross-functional stakeholders.Perform other duties as assigned, including special projects and time-sensitive analytical requests.QualificationsBachelor's degree in Mathematics, Statistics, Computer Science, Information Management, Analytics, Business Analytics, Economics, or a related quantitative field; equivalent experience may be considered.3+ years of experience as a Data Analyst, Business Analyst, Reporting Analyst, BI Analyst, or similar analytics role.Strong hands-on experience writing T-SQL queries in SQL Server Management Studio (SSMS), including joins, aggregations, subqueries, common table expressions, window functions, and data validation techniques.Experience building dashboards, reports, and visual analyses in Power BI, Tableau, or comparable visualization platforms.Strong analytical skills with the ability to collect, organize, validate, analyze, and communicate large and complex datasets with attention to detail and accuracy.Ability to analyze operational, machine, software, transaction, or event-level data and translate findings into practical business recommendations.Experience using AI tools to assist with analysis, research, query development, hypothesis generation, documentation, or synthesis of analytical findings.Adept at query development, report writing, data storytelling, and presenting findings to management.Strong verbal and written communication skills, including the ability to present complex information in a clear, digestible manner.Excellent attention to detail, strong organizational skills, and a proven track record of meeting deadlines while producing high-quality work.Ability to work cooperatively and collaboratively with all levels of employees, management, and external partners to maximize performance, creativity, problem solving, and results.Ability to operate independently with minimal direction while managing multiple priorities and projects simultaneously.Preferred QualificationsExperience in gaming, amusement, route operations, retail, hospitality, distributed operations, regulated environments, or other high-volume operational data settings.Familiarity with A/B testing, pre/post analysis, cohort analysis, anomaly detection, or statistical measurement of operational initiatives.Experience documenting KPI definitions, data lineage, dashboard requirements, and report governance standards.Exposure to Python, R, Databricks, Azure, or other modern analytics tools is a plus.Base Pay Range:Base Salary: $100,000-110,000 + 10% annual bonusThis range represents the low and high end of the anticipated base salary range for this position. The base salary will depend on a number of factors such as: qualifications, experience level, and skillset.Voluntary full-time employment benefits include medical, dental, and vision; life, AD&D, critical illness, and hospital insurance; short and long-term disability; identity/legal protection; as well as access to FSA and HSA accounts. Full and part-time employees are eligible to contribute to traditional and/or Roth 401(k) plans. Our Employee Assistance Program (EAP) offers counseling for a multitude of topics including (but not limited to) mental health, finances, adult care, disability, and grief.Accel Entertainment is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

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