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Predictive Modeling Jobs in Illinois (NOW HIRING)

Must be familiar with predictive modeling, have strong communication, and be comfortable learning and using AI tools. Completion of Exam 5 required, ACAS or FCAS designation preferred. (#58756 ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Showing results 41-60

Predictive Modeling information

See Illinois salary details

$10

$56

$80

How much do predictive modeling jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for predictive modeling in Illinois is $56.89, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $66.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in predictive modeling, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is predictive modeling?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What are the most commonly searched types of Predictive Modeling jobs in Illinois?

The most popular types of Predictive Modeling jobs in Illinois are:

What cities in Illinois are hiring for Predictive Modeling jobs?

Cities in Illinois with the most Predictive Modeling job openings:

Infographic showing various Predictive Modeling job openings in Illinois as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $118,340 per year, or $56.9 per hour.

Director of Enrollment CRM & Analytics

Chicago state university

Chicago, IL • On-site

$120 - $180/hr

Other

Posted 9 days ago


Job description

The Director of Enrollment Analytics will be responsible for leading data-driven initiatives within the Enrollment Management Division, providing comprehensive insights and strategic recommendations to optimize student recruitment, retention, and enrollment strategies. This role involves overseeing the collection, analysis, and reporting of enrollment data, ensuring accuracy and actionable insights to inform decision-making across the institution.

The Director will collaborate with key stakeholders across the university, including Admissions, Graduate Admissions, Financial Aid, Marketing, Office of the Registrar, Institutional Effectiveness and Research, and Academic Affairs, to ensure data-informed strategies are in place to achieve enrollment goals and meet institutional priorities.

Job Description
  • Data Collection & Reporting: Lead the development and maintenance of systems for tracking and reporting enrollment data, ensuring data integrity and accuracy. Provide regular reports and analysis on student enrollment trends, demographic shifts, and retention metrics.
  • Strategic Analysis: Conduct in-depth analyses of historical, current, and predictive enrollment data to provide actionable insights and recommendations for enrollment management and retention strategies.
  • Predictive Modeling: Develop and implement predictive models to forecast enrollment trends, retention rates, and yield patterns, and provide proactive solutions to potential enrollment gaps.
  • Collaboration & Communication: Work closely with leadership in Admissions, Marketing, Financial Aid, and Institutional Research to develop strategic plans and reports that align with institutional goals.
  • Decision Support: Provide data-driven support for key decision-making processes related to recruitment, admissions policies, financial aid strategies, and student services.
  • Trend Analysis: Monitor and evaluate national and regional higher education enrollment trends and demographic shifts, providing guidance on how these factors might impact institutional goals.
  • Budgeting & Resource Allocation: Contribute to the development of the department’s annual budget by providing data on enrollment projections and other relevant analytics.
Minimum Qualifications CREDENTIALS TO BE VERIFIED BY PLACEMENT OFFICER
  • Bachelor’s degree in information systems, data analytics, higher education, business, public administration, or a related field.
  • Five years of progressively responsible experience in CRM administration, enrollment management, admissions operations, data analytics, or a related area.
  • Demonstrated experience with Slate CRM and enrollment reporting or analytics.
  • Experience working with a student information system such as Banner.
Preferred Qualifications
  • Advanced Slate experience, including queries, rules, workflows, portals, forms, permissions, communications infrastructure, and reporting.
  • Experience supporting both prospective and current students through an Enrollment Management CRM.
  • Experience with SQL, Argos, Power BI, Tableau, or comparable reporting and visualization tools.
  • Experience leading cross-functional committees, system implementations, or business process improvement initiatives.
Knowledge, Skills and Abilities
  • Strong understanding of CRM strategy, enrollment management, and the student lifecycle from prospect through enrollment, re-enrollment, persistence, and completion.
  • Ability to analyze complex data and communicate findings clearly to technical and non-technical audiences.
  • Knowledge of data governance, data definitions, data security, FERPA, and responsible use of sensitive student information.
  • Strong project management, problem-solving, documentation, training, collaboration, and customer-service skills.
  • Ability to support data-informed decision-making without assuming operational authority for functional areas.
  • Ability to manage multiple priorities and work effectively with Enrollment Management, Information Technology, Institutional Effectiveness and Research, Academic Affairs, Student Affairs, and other campus partners.
Additional Applicant Information Physical Requirement/ Demands Posting Specific Questions

Required fields are indicated with an asterisk (*).

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