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Predictive Analytics Jobs in Chicago, IL (NOW HIRING)

AI & Decision Intelligence Director

Chicago, IL ยท On-site

$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 ...

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy. American Modern ...

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy. American Modern ...

Customer Reliability Engineer

Lisle, IL ยท On-site

$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 Analytics information

See Chicago, IL salary details

$27.8K

$116.2K

$206.7K

How much do predictive analytics jobs pay per year?

As of Sep 5, 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 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 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 degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

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 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:

Infographic showing various Predictive Analytics job openings in Chicago, IL as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% 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.

Prospect Development and Analytics Manager

The Morton Arboretum

Lisle, IL โ€ข Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

Join our team in a highly strategic role where data transforms into donor discovery and fuels our mission's growth. As a key leader within our Development Operations team, you will design and champion a comprehensive prospect management and analytics programโ€”leveraging wealth screenings, predictive modeling, and cutting-edge AI tools to uncover untapped philanthropic potential. Working closely with frontline fundraisers and leadership, you will serve as a vital partner, optimizing portfolios, shaping data-driven prospect strategies, and guiding a dedicated team to success. If you are an analytical, naturally curious professional with a passion for research and a knack for turning complex data into actionable fundraising insights, we invite you to apply for this unique opportunity.

Location: Hybrid (The Morton Arboretum, Lisle, IL) 

Position Summary:

Manage the prospect development and portfolio management processes within the Development department. Responsible for creating and implementing a comprehensive analytics function in support of prospect identification and management. Serve as a strategic member of the Development Operations team, working directly with frontline fundraising staff to provide prospect identification and research support, manage portfolios, track prospect activity, and collaborate around prospect strategies. Funding for this position is temporary and is expected to run through the end of 2030, with the possibility of extension.

Essential Functions: 

  • Lead the design, implementation, and continuous improvement of a comprehensive prospect management program that supports the identification, qualification, assignment, movement, and tracking of institutional, major, and principal gift prospects. 

  • In collaboration with the Director of Development Operations, lead the development and application of prospect scoring models, predictive analytics, and donor segmentation strategies to strengthen prospect identification, portfolio optimization, and fundraising outcomes.

  • Serve as a strategic partner to frontline fundraisers and leadership, providing prospect insights, portfolio recommendations, and data-driven guidance to maximize fundraising performance. 

  • Develop and manage a proactive prospect pipeline, identifying mid-major, major, and principal gift prospects utilizing research, wealth screening, predictive analytics, and qualification methodologies to identify and prioritize high-potential prospects. 

  • Direct portfolio management efforts across the development team, establishing standards, policies, and performance metrics to ensure balanced portfolios, clear accountability, and effective prospect moves movement. 

  • Collaborate with membership and individual giving teams to identify donors with characteristics indicative of greater philanthropic capacity and inclination, informing targeted engagement strategies, giving society growth, and major gift pipeline development. 

  • Use quantitative analyses that leverage AI tools and wealth-screening assets to estimate prospects' philanthropic capacity. Document and communicate biographical, philanthropic, professional, and financial information about donors and prospects as necessary.

  • In partnership with the Director of Development Operations, design and manage a comprehensive portfolio review and prospect strategy process, including meeting structures, reporting frameworks, key performance indicators, and accountability measures. 

  • Oversee tracking and reporting of prospect-related information from research, ratings, segmentation, and other related activities. 

  • Establish and maintain best practices, policies, and procedures related to prospect management, research, analytics, and CRM data integrity, ensuring consistent adoption across the development team. 

  • Provide support for and attend Arboretum events, and proactively participate in professional development opportunities. 

  • Demonstrate alignment with the Arboretumโ€™s employee core values. 

  • Other duties as assigned.

Supervisory Responsibilities:

  • Serve in a supervisory capacity of one employee, providing leadership guidance and communicating the organization's goals. This includes:

  • Hiring, training, coaching, and developing team members by providing recognition and feedback, and evaluating performance 

  • Ensuring that team members adhere to the Arboretumโ€™s policies and procedures, and maintaining a safe and compliant work environment

  • Building and maintaining positive working relationships with team members, colleagues, and other stakeholders to foster a collaborative and supportive work environment

Qualifications:

Bachelorโ€™s degree required. 5+ years of prospect research and analytics experience and database experience in a nonprofit environment required. Strong verbal and written communication skills required. High degree of technical skills with proficiency and understanding of data mining, use of AI tools, and statistical analysis techniques and software. Analytical skills with the ability to synthesize a high volume of information from a variety of sources are required, as is serious experience with CRM systems (Salesforce, ideally). Proven ability to partner with, coach, and influence gift officers, using data-driven insights to advance prospect strategy and fundraising outcomes. Experience using visualization tools such as Tableau or similar software is highly desirable. Proficiency with Google applications and Microsoft Office is beneficial. 

Success Factors:

Energized by working with large amounts of data, have a natural curiosity and a love of research, are excited by the idea of exposure to a varied array of assignments, and are enthusiastic about acquiring a skill set that will contribute to their professional growth within the organization. Strong analytical acumen to retrieve, analyze, and interpret financial information and manage data. Knowledge of a broad range of research techniques, web-based research, as well as database operation and usage. Strong organizational skills with the proven ability to adapt to shifting priorities and manage multiple projects in a deadline-driven environment. Ability to translate analysis into an accessible format. Ability to exercise independent initiative, sound judgment, and work under minimal supervision. Maintain strict confidentiality, handling sensitive information and material in a discretionary manner.

Physical Demands and Work Environment: 

The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

  • Physical Demands: Requires some physical activity, with prolonged periods in front of a computer screen.

  • Work Environment: Office environment. Work is primarily performed indoors with occasional outdoor work for events. 

  • Equipment: General office equipment.

  • Schedule: Position requires occasional extended work hours, including evenings and weekends.

Job descriptions are guidelines that attempt to characterize the major duties and responsibilities of employees and are subject to change as needs and programs evolve. At The Morton Arboretum, they are considered neither inclusive nor exclusive. It is expected that up to 20% of job duties may change annually.

The expected hiring range for this exempt position is annualized at $67,000 - $77,000 based on experience that will be evaluated during the candidate selection process. We believe in the importance of pay equity and consider internal equity of our current team members as a part of the final offer. 

Our benefits include:

  • Medical, Dental, and Vision insurance 

  • 401(k) with generous match 

  • Generous vacation, floating holidays, and sick days 

  • And more! For a complete list of benefits, please visit our competitive benefits package. 


For full consideration, please include your resume along with a cover letter to share with us why our opportunity here at The Morton Arboretum is of interest to you and what makes you stand out as a major gifts professional.


The Morton Arboretum is a champion for diversity, supporting a culture of inclusion that attracts, inspires, and engages people to achieve success. The Arboretum is committed to hire and develop employees based on job-related qualifications irrespective of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, or veteran status. The Morton Arboretum is dedicated to complying with our obligations as an equal-opportunity employer. All applicants are guaranteed equal consideration for employment.