ZipRecruiter

Log In

1

Advanced Data Analytics Jobs in Illinois (NOW HIRING)

Apex Informatics

Data Analyst

Chicago, IL · On-site

... analytics projects to drive value and gain insight from information. • Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and ...

Sralab

Manager, Data Analytics

Chicago, IL

Use advanced data analysis techniques that leverage technology to process large volumes of data to perform complex computations in a scalable, reproducible and automated manner. Support information ...

ZS

Advanced Data Science Manager

Evanston, IL · On-site

$225K - $240K/yr

What you'll do: Advanced Data Science Manager in AI will... * Lead and mentor a team of data ... Direct multiple projects simultaneously, honing analytic and project management skills; * Play a ...

3B Staffing LLC

Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated ...

3B Staffing LLC

Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated ...

Archer Daniels Midland

Advanced Analytics & AI Enablement: Apply analytics, automation, and AI-enabled tools to identify trends, anomalies, root causes, and predictive insights; build data-to-insight capabilities that ...

Northern Trust Corp

Data Analytics Engineer

Chicago, IL · On-site

$114.50 - $194.70/hr

Advanced data analytics skills using ML, AI and GenAI.* Expertise in designing data driven AI solution for complex business needs.* Investment Management or Asset Management experience recommended.

Photon

Analytics Architect | USA

Chicago, IL · On-site

Data Analysis and Insights : Conduct advanced data analysis to uncover trends, opportunities, and potential risks. Provide actionable recommendations to stakeholders across departments. Tool and ...

AllSTEM Connections

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high ... Perform advanced data profiling and reconciliation across multiple source systems to ensure ...

Halo Group

Data Analytics Architect

Deerfield, IL · On-site

... advanced user experience Desired Qualifications: Development / Scripting experience with languages such as Go, Java and Bash. Experience in at least two of the following frameworks: Jenkins, Github ...

Northern Trust

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs. * Investment Management or Asset Management experience recommended.

Northern Trust

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs. * Investment Management or Asset Management experience recommended.

next page

Showing results 1-20

All JobsAdvanced Data Analytics JobsAdvanced Data Analytics Jobs in Illinois

Advanced Data Analytics information

See Illinois salary details

$23

$53

$91

How much do advanced data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for advanced data analytics in Illinois is $53.05, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $60.10 per hour, depending on experience, location, and employer.

What is advanced data analytics?

Advanced data analytics refers to the use of sophisticated techniques and tools to analyze large and complex datasets. These techniques often include machine learning, predictive modeling, data mining, and statistical analysis to uncover patterns, trends, and insights that can inform decision-making. Professionals in advanced data analytics use programming languages such as Python or R, and work with big data platforms to process and interpret data. The goal is to derive actionable intelligence that can drive business strategies and innovation.

What are the key skills and qualifications needed to thrive as an advanced data analytics professional, and why are they important?

To excel in Advanced Data Analytics, you need strong quantitative skills, expertise in statistics, and a solid background in mathematics or computer science, usually demonstrated by a relevant degree. Proficiency with programming languages like Python or R, data visualization tools such as Tableau or Power BI, and familiarity with big data platforms (e.g., Hadoop, Spark) are commonly required, along with certifications like Microsoft Certified: Data Analyst Associate. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills that set top professionals apart. These competencies enable analysts to extract actionable insights from complex data, drive decision-making, and support organizational goals.

What are some common challenges faced by professionals in advanced data analytics, and how can they be addressed?

Professionals in Advanced Data Analytics often encounter challenges such as managing and cleaning large, complex datasets, ensuring data accuracy, and communicating technical findings to non-technical stakeholders. Addressing these challenges typically involves developing strong data preprocessing skills, using robust data validation methods, and honing the ability to translate analytical insights into clear, actionable recommendations. Collaborating closely with cross-functional teams also helps ensure alignment on project goals and data interpretation.

What is the difference between Advanced Data Analytics vs Data Scientist?

AspectAdvanced Data AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes programming skills
Work EnvironmentBusiness, finance, marketing teams focusing on data-driven decision makingResearch, development, and modeling in tech, finance, or healthcare sectors
Employer & Industry UsageUsed across industries for insights and reportingUsed for building models, algorithms, and predictive analytics

While both roles involve working with data, Advanced Data Analytics focuses on analyzing large datasets to generate insights and support decision-making. Data Scientists often develop models and algorithms to predict future trends. The roles overlap but differ mainly in scope and focus, with Data Scientists typically engaging in more complex modeling and programming tasks.

What are popular job titles related to Advanced Data Analytics jobs in Illinois?

For Advanced Data Analytics jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Advanced Data Analytics jobs in Illinois look for?

The top searched job categories for Advanced Data Analytics jobs in Illinois are:

Advanced Data Analytics jobs near you
Infographic showing various Advanced Data Analytics job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $110,346 per year, or $53.1 per hour.

Data Analyst

Apex Informatics

Chicago, IL • On-site

Full-time

Re-posted 18 days ago

Job description

Location: Hybrid 3x a week onsite in Chicago IL (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Description
NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role, your duties will include system analysis of various applications and databases and translating those to documentation. You may also be required to create high level acceptance criteria using that documentation.
To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
Responsibilities:
• Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
• Relate current systems to industry standards to help build a new system.
• Manage the execution of data analytics projects to drive value and gain insight from information.
• Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated manner.
• Use data analysis to detect patterns leading to more efficient testing and data quality.
• Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
• Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
• Familiar with data sourcing, data capture, data transformation and data preparation techniques
• Familiarity with Data Binning and K-means Clustering and applying those techniques.
• Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.
Skills and Experience:
• A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
• Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
• Extensive experience in technical business analysis in the fintech industry
• Exceptional communication skills toward facilitating the use of new software systems
• Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
• Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus

Apply