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Predictive Analyst Jobs in Illinois (NOW HIRING)

Experience using data intelligence, predictive analytics or AI-enabled tools to deliver business insights. * SQL experience preferred. * Proficient in Microsoft Word, PowerPoint and Excel.

Experience using data intelligence, predictive analytics or AI-enabled tools to deliver business insights. * SQL experience preferred. * Proficient in Microsoft Word, PowerPoint and Excel.

Support predictive analytics for manufacturing costs, labor utilization, and supply chain spend. * Translate complex datasets into actionable business insights for leadership. FP&A & Business Support ...

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

Showing results 21-40

Predictive Analyst information

See Illinois salary details

$12

$40

$70

How much do predictive analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for predictive analyst in Illinois is $40.34, according to ZipRecruiter salary data. Most workers in this role earn between $26.58 and $51.47 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 Illinois? For Predictive Analyst jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Predictive Analyst jobs in Illinois look for? The top searched job categories for Predictive Analyst jobs in Illinois are:
What cities in Illinois are hiring for Predictive Analyst jobs? Cities in Illinois with the most Predictive Analyst job openings:
Infographic showing various Predictive Analyst job openings in Illinois as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $83,901 per year, or $40.3 per hour.

Director, Commercial Insights & Analytics

Wolters Kluwer

Chicago, IL

$137K - $246K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Wolters Kluwer rating

9.0

Company rating: 9.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

The Director, Commercial Insights & Analytics leads the commercial analytics, market insights, and competitive intelligence strategy for the Health Division, enabling data-driven decisions that improve sales effectiveness, customer growth, retention, and commercial performance. This role owns the KPIs, data infrastructure, dashboards, predictive analytics, and competitive intelligence that measure and optimize the end-to-end customer lifecycle - from pipeline and forecasting to pricing, renewals, and expansion.

As a strategic partner to Sales, Marketing, Finance, Product, and Enterprise Data teams, you will deliver actionable insights and market context that improve forecasting, pipeline health, pricing, sales productivity, renewals, and customer expansion, while tracking competitor positioning and market shifts to keep commercial strategy ahead of the market. Leveraging Salesforce, Tableau, Power BI, SQL, AI, and advanced analytics, you will transform commercial and market data into executive-ready insights that drive growth and operational excellence.

Leading a high-performing analytics, competitive intelligence, and market research team, you will establish enterprise analytics standards, champion AI-driven decision-making, and serve as a trusted advisor to commercial leadership on business performance, market dynamics, and strategic priorities.

Key Responsibilities

  • Define and execute the commercial analytics and market insights strategy supporting revenue growth, customer retention, and sales productivity.
  • Develop KPI frameworks, executive dashboards, and predictive analytics models that improve commercial performance and decision-making speed.
  • Own the organization's competitive intelligence program - tracking competitor positioning, pricing, product moves, and market share shifts, and translating findings into battlecards, playbooks, and sales enablement content.
  • Measure the effectiveness and ROI of sales, marketing, pricing, and customer success initiatives, and use market/competitive context to explain performance against the broader landscape.
  • Conduct market sizing, segmentation, and industry trend research (TAM/SAM) to inform go-to-market strategy, territory design, and resource allocation.
  • Partner with Sales, Marketing, Product, Finance, and Enterprise Data teams to deliver actionable business insights and ensure market intelligence is embedded in planning and incentive design.
  • Lead the commercial analytics roadmap, including AI, automation, reporting, and data governance capabilities, establishing enterprise-wide analytics standards.
  • Deliver the data, forecasting models, and competitive context that power executive business rhythms, including QBRs, forecast reviews, account reviews, and annual planning.
  • Build, coach, and develop a high-performing Commercial Insights & Analytics team, fostering a culture of rigor, curiosity, and continuous improvement.
  • Serve as a trusted advisor to executive leadership, influencing decision-making through data-driven recommendations and identifying growth opportunities and competitive risks.

Qualifications

  • Bachelor's degree in Business, Analytics, Finance, Data Science, or a related field.
  • 10+ years of experience in Commercial Analytics, Sales Operations, Revenue Operations, Business Intelligence, Market Insights, Competitive Intelligence, or Strategy.
  • 5+ years leading analytics, business intelligence, or competitive intelligence teams.
  • Experience supporting high-growth SaaS organizations.
  • Expertise with Salesforce, Tableau, Power BI, SQL, forecasting, pipeline analytics, market segmentation, and commercial performance measurement.
  • Strong executive communication, stakeholder management, and analytical leadership skills.

Preferred

  • Master's degree or MBA.
  • Experience with AI/ML, predictive analytics, and commercial transformation.
  • Knowledge of healthcare information, clinical technology, or subscription-based business models.
  • Familiarity with competitive intelligence platforms (e.g., Klue, Crayon).
Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$137,900.00 - $246,350.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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