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Predictive Analytics Jobs in Chicago, IL (NOW HIRING)

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 ...

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Manager, Talent & People Analytics

Cicero, IL · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Leverage Workday to deliver actionable insights, predictive analyses, and strategic recommendations that enable informed talent decisions. * HR Strategy & Business Support: * Creates executive-level ...

This individual will drive the evolution of people metrics, workforce dashboards, predictive ... People Analytics & Reporting * Develop and execute the organization's people analytics strategy ...

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Showing results 1-20

Predictive Analytics information

See Chicago, IL salary details

$27.8K

$116.2K

$206.7K

How much do predictive analytics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for predictive analytics in Chicago, IL is $116,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,100.00 and $126,800.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to develop models that forecast future trends and behaviors. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to interpret data and support decision-making. Strong analytical skills and knowledge of data management are essential for success in this field.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What do predictive analytics do?

Predictive analytics involves analyzing historical data to identify patterns and forecast future outcomes. In a predictive analytics role, professionals use statistical models, machine learning algorithms, and data visualization tools to support decision-making and improve business strategies.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are the most commonly searched types of Predictive Analytics jobs in Chicago, IL?

The most popular types of Predictive Analytics jobs in Chicago, IL are:

What job categories do people searching Predictive Analytics jobs in Chicago, IL look for?

The top searched job categories for Predictive Analytics jobs in Chicago, IL are:

Infographic showing various Predictive Analytics job openings in Chicago, IL as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $116,212 per year, or $55.9 per hour.

Director, Commercial Insights & Analytics

Wolters Kluwer

Chicago, IL

$137K - $246K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Wolters Kluwer rating

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

25th of 244 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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