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Advanced Data Analytics Jobs in Illinois (NOW HIRING)

... 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 ...

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.

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.

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.

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.

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 ...

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 ...

Showing results 21-40

Advanced Data Analytics information

See Illinois salary details

$23

$53

$91

How much do advanced data analytics jobs pay per hour?

As of Aug 16, 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 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 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 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 is an advanced data analyst?

An advanced data analyst is a professional who uses complex statistical methods, programming skills, and data visualization tools to interpret large and complex datasets. They often work with software like Python, R, or SQL and may hold certifications such as Certified Analytics Professional (CAP) to enhance their expertise.

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 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:

Infographic showing various Advanced Data Analytics job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $110,346 per year, or $53.1 per hour.

Marketing Data & Analytics Specialist

First Mid

Rockford, IL • On-site

$73K - $91K/yr

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago


First Mid Bank & Trust rating

8.5

Company rating: 8.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

33rd of 171 rated banks


Job description

At First Mid, base salary is one component of our Total Rewards program. Exact compensation is determined by factors such as (but not limited to) education, skills, internal equity, and experience. This position offers additional compensation in the form of discretionary short-term incentives (i.e. bonus, incentives, and/or commission). Benefits for this role include comprehensive healthcare, well-being benefits, paid family leave as well as generous paid time off. Total Rewards also include banking perks, tuition reimbursement, an Employee Stock Purchase Plan, and a 401K plan with company match. Incentives and benefits are subject to eligibility requirements.
This is a key member of the marketing team’s business strategy and works closely with CMO and Marketing Strategy roles. Entrusted with deriving actionable insights and recommendations from multiple data sources, supports strategic goals through data management, reporting, analysis, customer intelligence, segmentation, targeting, demographics and other business analytics. Owns reporting and analysis for defined business areas. Translates data into insights, identifies performance trends, and partners with Strategy and CRM to support planning and optimization. Preferably leads enterprise‑level analytics, performance measurement, and insight generation. Shapes KPI frameworks, partners with senior leaders, and drives data‑informed decision‑making across Marketing and the business.
Responsibilities include, but are not limited to:
  • Lead analytics strategy for major segments or enterprise initiatives
  • Own reporting and analysis for assigned segments or campaigns
  • Build dashboards, performance summaries, and KPI tracking
  • Develop KPI frameworks, measurement plans, and insight models
  • Translate data into insights and recommendations
  • Improve reporting processes and data visualization
  • Partner with CRM, Strategy, and business lines to support planning and improve data maturity
  • Positions data (knowledge of our customers, products, employees, vendors, and the market at large) as a driver of messaging, budgetary spending, and tactics
  • Ensure data quality and governance across assigned domains
  • Lead analytics strategy for major segments or enterprise initiatives
  • Serves as quality assurance guide for reporting functions within the department
  • Champions data integrity and literacy required for customer-centric efforts.
  • Works with marketing leadership to define standards and parameters of business rules for accuracy, cross-functional alignment, and structural integrity of data, including the creation of process documentation, templates, and systems required for effective data management
Qualifications
Education/Experience:
  • Bachelor’s or advanced degree in marketing, data administration, information systems or equivalent experience.
  • Minimum of 5+ years’ experience in Analytics, Business Intelligence, or Marketing Insights roles.
  • Financial services or regulated industry experience preferred.
Skills:
  • Advanced data analytics, strategic insight development, data storytelling, KPI design and development, enterprise influence, segmentation, and cross‑functional collaboration.
  • Has a working understanding of marketing functions and, in particular, the role that data and technology play in powering those functions
  • Experience with a CRM system, preferable Microsoft Dynamics, and tools comprising the marketing stack
  • Experience creating and delivering marketing metrics related to reports, including ROI
  • Experience in market trends and consumer behavior research.
  • Strong analytical, critical thinking and problem-solving skills.
  • High attention to detail and ability to meet deadlines.

What First Mid Bank & Trust employees say

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