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Predictive Analytics Jobs in Chicago, IL (NOW HIRING)

Vizient

AI & Decision Intelligence Director

Chicago, IL

$135K - $236K/yr

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 ...

Collabera

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 ...

Ferrara

Sr. Manager, Demand Planning Analytics

Chicago, IL · On-site

$114K - $160K/yr

This position will be responsible for developing and leading advanced statistical and predictive ... Analyze large and complex datasets to identify demand patterns, trends, and opportunities that ...

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Showing results 21-40

All JobsPredictive Analytics JobsPredictive Analytics Jobs in Chicago, IL

Predictive Analytics information

See Chicago, IL salary details

$27.8K

$116.1K

$206.5K

How much do predictive analytics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for predictive analytics in Chicago, IL is $116,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $126,700.00 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 are popular job titles related to Predictive Analytics jobs in Chicago, IL? For Predictive Analytics jobs in Chicago, IL, the most frequently searched job titles 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:
Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Chicago, IL as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $116,095 per year, or $55.8 per hour.

Quantitative Developer, New Graduates - 2027

Dime Line Trading

Chicago, IL

Full-time

Posted 17 days ago

Job description

What you'll do:
  • Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues
  • Prototype and backtest models, monitor performance, and assist with optimizations.
  • Contribute to key feature development for model efficiency
  • Develop and maintain Python codebases in a Linux environment.
  • Help to design and implement new pricing models and frameworks
  • Support data pipeline and SQL database interactions for real-time models.
  • Assist in improving trading systems and operational tools.
  • Gain exposure to multiple sports, quantitative disciplines, and production engineering.
  • Other duties as assigned.

Skills you'll need:
  • Proficiency in Python (experience in R or other languages a plus).
  • Strong interest in statistical modeling, machine learning, or predictive analytics.
  • Familiarity with Linux and SQL databases.
  • Ability to work in a fast-paced environment and manage multiple tasks.
  • Interest in sports and sports analytics / sabermetrics.
  • Strong problem-solving and communication skills.
  • Predictable and reliable availability

It's great to see:
  • Coursework in statistics, optimization, computer science, or related fields.
  • Prior internship or project experience in trading, quantitative research, or software engineering.
  • Exposure to object-oriented development, real-time systems, or algorithmic trading models.
  • Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.