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Predictive Analyst Jobs in Chicago, IL (NOW HIRING)

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/yr

Build and refine forecasting, regression, and predictive models to estimate sales trends, customer behavior, and regional performance * Develop analytical models to identify trends, quantify ...

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/hr

Build and refine forecasting, regression, and predictive models to estimate sales trends, customer behavior, and regional performance * Develop analytical models to identify trends, quantify ...

Senior Data Analyst

Chicago, IL

$88K - $111K/yr

Build and refine forecasting, regression, and predictive models to estimate sales trends, customer behavior, and regional performance * Develop analytical models to identify trends, quantify ...

Lead Analyst

Chicago, IL · On-site

$115K - $130K/yr

... • Predictive and exploratory modeling You Have Experience • 4-5+ years of experience in analytics, statistical modeling, data strategy, marketing analytics, healthcare analytics, consulting ...

Implement predictive forecasting and analytical models to support strategic decision-making. Automate data workflows and reporting processes to improve operational efficiency. Ensure data quality ...

New

In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning, predictive analytics, and intelligent automation capabilities within Revenue Intelligence. The role ...

New

Explore and apply emerging analytics techniques - including predictive modeling and machine learning - to enhance planning accuracy and operational decision-making. * Perform additional ...

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Senior Supply Chain Analyst

Chicago, IL

$80K - $99K/yr

Explore and apply emerging analytics techniques -- including predictive modeling and machine learning -- to enhance planning accuracy and operational decision-making. * Perform additional ...

Senior Supply Chain Analyst

Chicago, IL · On-site

$80K - $99K/yr

Explore and apply emerging analytics techniques - including predictive modeling and machine learning - to enhance planning accuracy and operational decision-making. * Perform additional ...

Customer Reliability Engineer

Lisle, IL

$101K - $127K/yr

We develop and deliver real time predictive analytics that make an impact by eliminating unplanned downtime, preventing equipment failure, and increasing performance in some of the world's most ...

Showing results 21-40

Predictive Analyst information

See Chicago, IL salary details

$14

$47

$82

How much do predictive analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for predictive analyst in Chicago, IL is $47.18, according to ZipRecruiter salary data. Most workers in this role earn between $31.09 and $60.20 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a predictive analyst?

To thrive as a Predictive Analyst, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, computer science, or economics. Proficiency with data analytics tools like Python, R, SQL, and machine learning platforms, as well as familiarity with data visualization software, is typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help you translate complex data findings into actionable business insights. These skills and qualifications are essential for delivering accurate forecasts that drive strategic decision-making and business growth.

How does a predictive analyst typically collaborate with other teams within an organization?

Predictive Analysts often work closely with cross-functional teams such as marketing, product management, and IT. They translate complex data findings into actionable insights for business decision-makers, requiring strong communication skills and the ability to present data visually. Collaboration may involve regular meetings to define project goals, share progress, and refine predictive models based on team feedback. This interdepartmental cooperation ensures that analytics align with overall business strategies and deliver measurable value.

What is a predictive analyst?

A Predictive Analyst is a professional who uses data analysis, statistical techniques, and machine learning models to forecast future outcomes and trends for a business or organization. They collect and interpret large sets of data to identify patterns and make predictions that help guide strategic decisions. Predictive Analysts often work with various software tools and collaborate with other departments to improve business performance and anticipate future challenges or opportunities.

What is the difference between Predictive Analyst vs Data Analyst?

AspectPredictive AnalystData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; often certifications in predictive modelingBachelor's in Data Analysis, Statistics, or related field; certifications in data visualization or analysis tools
Work EnvironmentAnalytical teams, data science departments, often in tech, finance, or healthcareBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed in industries requiring forecasting and predictive modeling, like finance, marketing, healthcareUsed broadly for data reporting, visualization, and descriptive analysis across industries

Predictive Analysts focus on building models to forecast future trends using statistical and machine learning techniques, while Data Analysts primarily interpret existing data to generate reports and insights. Both roles require strong analytical skills, but Predictive Analysts typically have more specialized training in predictive modeling and data science tools.

What are popular job titles related to Predictive Analyst jobs in Chicago, IL? For Predictive Analyst jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Predictive Analyst jobs in Chicago, IL look for? The top searched job categories for Predictive Analyst jobs in Chicago, IL are:
Infographic showing various Predictive Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $98,142 per year, or $47.2 per hour.

Consultative Offerings - Analyst - Forensic Analytics

Deloitte

Chicago, IL • On-site

Other

Re-posted 19 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

As a Forensic Analytics Analyst, you'll use your technology and data analytics skills to help clients address business challenges related to regulatory, risk, and forensic issues. You'll develop data analysis plans, create analytics strategies, assess models, and design solutions. By analyzing risk through data and technology, you'll help build a more trustworthy and reliable world.

Work You'll Do

As a Forensic Analytics Analyst, you will:

  • Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you'll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects
  • Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management
  • Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future
  • Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights
  • Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance
  • Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns
  • Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques
  • Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies
  • Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement
Regardless of type of work, your work may require:

  • Strong verbal and written communication skills for effective client and team interactions
  • Ability to work independently and manage multiple responsibilities in a fast-paced environment
  • Problem-solving and critical thinking skills to drive innovation and operational improvements
  • Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders
  • Quick to learn and apply new concepts, frameworks, and emerging technologies
  • Proactive in managing personal and professional growth and expanding consulting skills
  • Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint
The Team

Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor's degree or higher in one of the following majors or a related/equivalent program:
    • Technology: Data Analytics, Computer Science, Management Information Systems
    • Business: Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
    • Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics
  • Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred).
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Candidates must be at least 18 years of age at time of employment
  • Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date
Preferred Qualifications

  • Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
    • Microsoft SQL Server, Oracle
    • Predictive Analytics/Data Mining: (e.g. Python)
    • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
    • Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)
    • Reporting Tools (e.g. Business Objects, Reporting Services)
    • Machine Learning / GenAI
    • Cloud Computing (e.g. AWS, Azure, etc.)
OR
  • Meet minimal educational requirements for CPA licensure (which may differ from the educational requirements to sit for the CPA exam) in the state of your assigned office location

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate is $95,000.

Qualifications:
Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

As a Forensic Analytics Analyst, you'll use your technology and data analytics skills to help clients address business challenges related to regulatory, risk, and forensic issues. You'll develop data analysis plans, create analytics strategies, assess models, and design solutions. By analyzing risk through data and technology, you'll help build a more trustworthy and reliable world.

Work You'll Do

As a Forensic Analytics Analyst, you will:

  • Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you'll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects
  • Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management
  • Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future
  • Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights
  • Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance
  • Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns
  • Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques
  • Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies
  • Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement
Regardless of type of work, your work may require:

  • Strong verbal and written communication skills for effective client and team interactions
  • Ability to work independently and manage multiple responsibilities in a fast-paced environment
  • Problem-solving and critical thinking skills to drive innovation and operational improvements
  • Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders
  • Quick to learn and apply new concepts, frameworks, and emerging technologies
  • Proactive in managing personal and professional growth and expanding consulting skills
  • Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint
The Team

Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor's degree or higher in one of the following majors or a related/equivalent program:
    • Technology: Data Analytics, Computer Science, Management Information Systems
    • Business: Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
    • Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics
  • Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred).
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Candidates must be at least 18 years of age at time of employment
  • Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date
Preferred Qualifications

  • Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
    • Microsoft SQL Server, Oracle
    • Predictive Analytics/Data Mining: (e.g. Python)
    • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
    • Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)
    • Reporting Tools (e.g. Business Objects, Reporting Services)
    • Machine Learning / GenAI
    • Cloud Computing (e.g. AWS, Azure, etc.)
OR
  • Meet minimal educational requirements for CPA licensure (which may differ from the educational requirements to sit for the CPA exam) in the state of your assigned office location

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organiza...

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