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Predictive Analytics Jobs in Chicago, IL (NOW HIRING)

Experience with statistical modeling and predictive analytics * Ability to work with large datasets and ensure data integrity * Strong written and verbal communication skills and an ability to ...

Experience with statistical modeling and predictive analytics * Ability to work with large datasets and ensure data integrity * Strong written and verbal communication skills and an ability to ...

... and predictive analytics • Experience integrating and customizing marketing automation platforms with third-party tools (CRM, intent data, analytics, etc.) • Strong understanding of B2B sales ...

... predictive analytics Experience integrating and customizing marketing automation platforms with third-party tools (CRM, intent data, analytics, etc.) Strong understanding of B2B sales funnels ...

Analyst, Sales Operations

Chicago, IL · On-site

$73K - $91K/yr

... and predictive analytics to identify trends in lead behavior, conversion likelihood, and pipeline health. * Leverage AI and large language model (LLM) tools to accelerate data analysis, automate ...

Analyst, Sales Operations

Chicago, IL · Remote

$73K - $91K/yr

... and predictive analytics to identify trends in lead behavior, conversion likelihood, and pipeline health. * Leverage AI and large language model (LLM) tools to accelerate data analysis, automate ...

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 ...

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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 Jul 17, 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 a Predictive Analytics job?

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 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 are the key skills and qualifications needed to thrive in the Predictive Analytics position, and why are they important?

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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $116,212 per year, or $55.9 per hour.
Manager Continuous Improvement - Predictive Maintenance

Manager Continuous Improvement - Predictive Maintenance

Conagra Brands

Chicago, IL • Hybrid

$109K - $159K/yr

Full-time

Retirement, PTO

Re-posted 7 days ago


Conagra Brands rating

7.1

Company rating: 7.1 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

198th of 397 rated food and drinks producers


Job description

Reporting to the Director, Reliability Center of Excellence, you will serve as a member of the Corporate Reliability Center of Excellence and lead the implementation and continuous improvement of maintenance systems, standards, and capabilities across the enterprise. You will guide manufacturing sites in preventive maintenance, predictive maintenance, work management, and spare parts management, while supporting design for reliability and maintenance readiness for new capital equipment. You will own and lead predictive maintenance across all manufacturing sites, driving the development, execution, and sustainability of a formal program, monitoring performance, identifying gaps, and providing insight to senior leadership.

A Taste of Your Responsibilities
  • Lead and support manufacturing sites to develop and continuously improve preventive and predictive maintenance plans and work management execution
  • Conduct assessments of maintenance practices at manufacturing sites and lead development and execution of improvement action plans
  • Own and manage one or more maintenance systems or standards at the enterprise level, including documentation, training, assessments, and key performance indicators
  • Support site readiness activities for new capital equipment, ensuring maintenance preparedness
  • Lead predictive maintenance strategy and execution across all manufacturing sites, including implementation of standards, systems, and best practices
  • Monitor predictive maintenance performance, identify gaps, track key performance indicators, and drive continuous improvement initiatives
  • Provide guidance and direction to the Reliability Center of Excellence and senior leadership regarding predictive maintenance performance and opportunities
  • Collaborate with sites to assess current predictive maintenance capabilities and support improvement initiatives
  • Develop and maintain predictive maintenance program documentation, including standards, flow charts, and one point lessons
  • Lead monthly predictive maintenance meetings with manufacturing sites, including agenda development, updates, and action tracking
  • Plan and deliver training programs across the organization
  • Partner with external predictive maintenance vendors and service providers
  • Provide remote and onsite support to manufacturing locations as needed
  • Stay current on emerging technologies and recommend investment opportunities to advance predictive maintenance capabilities
  • Participate in Reliability Center of Excellence and engineering meetings and events
Ingredients Required for Your Success
  • Bachelor's degree in a technical engineering field or equivalent experience
  • 10 or more years of experience in maintenance roles within a manufacturing environment, including 5 or more years in a maintenance manager role
  • Extensive knowledge of manufacturing equipment and parts
  • Experience with continuous improvement methodologies such as Total Productive Maintenance, Lean Manufacturing, Kaizen, and 5S
  • Deep experience developing preventive and predictive maintenance programs
  • Experience with asset performance management systems related to predictive maintenance
  • Experience with artificial intelligence assisted or driven predictive maintenance
  • Knowledge of predictive maintenance technologies such as vibration analysis, infrared, and oil analysis; vibration certification preferred
  • Familiarity with enterprise resource planning systems for work management and materials management
  • Advanced Microsoft Excel skills for data analysis and reporting
  • Experience using collaboration tools such as SharePoint and Microsoft Teams
  • Experience creating presentations and delivering training to diverse audiences
  • Ability to travel. The typical requirement will be 50%, though it may occasionally necessitate up to 75% depending on project or support needs. Typical travel week will require travelling on Monday morning and returning home Thursday evening/night. Our team works from home on Fridays. Friday travel is not required unless there is a very unusual situation, which typically only happens once or twice a year.

#LI-PM2

#LI-Hybrid

#LI-MSL

Compensation

Pay Range:$109,000-$159,000

The annual salary listed above is the expected offering for this position. An employee's actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees' equity.Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.

Anticipated Close Date

July 29, 2026

Our Benefits

We care about your total well-being and will support you with the following, subject to your location and role:

  • Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement

  • Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan

  • Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement

  • Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities

Our Company

At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions - within our people and our iconic brands like Birds Eye, Slim Jim and Reddi-Wip.

Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.

Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.


What Conagra Brands employees say

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About Conagra Brands

Sourced by ZipRecruiter

Conagra Brands (NYSE: CAG) is an approximately $11 billion company that combines a rich heritage of making great food with a sharpened focus and entrepreneurial spirit. We're transforming the way we operate to fulfill what consumers and customers want, in a smart, simple way. We're modernizing our iconic food brands, leveraging fresh opportunities and adapting to a changing landscape - all with a culture that's ready to capture growth and drive shareholder value.

Industry

Food services and drinking places

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1919

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