ZipRecruiter

Log In

1

Manager Predictive Analytics Jobs in Chicago, IL

Ra

Customer Analytics Senior Manager

Chicago, IL · On-site

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 ...

Ra

Customer Analytic Manager

Chicago, IL · On-site

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 ...

Breakthru

Manager, Talent & People Analytics

Cicero, IL · On-site +1

Demonstrated experience applying AI, machine learning, and predictive analytics concepts to talent management and people analytics initiatives * Ability to multi-task, work independently and/or ...

Collabera

Customer Reliability Engineer

Lisle, IL

$101K - $127K/yr

Quickly master cutting edge predictive analytics software and tools. Deftly manage customer expectations and satisfaction for assigned customer accounts. Qualifications Qualifications/Requirements:

Munich Re

Data Scientist, AI

Chicago, IL · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Develop and project manage modeling projects and statistical analyses. * Effectively communicate ...

next page

Showing results 1-20

All JobsPredictive Analytics JobsManager Predictive Analytics JobsManager Predictive Analytics Jobs in Chicago, IL

Manager Predictive Analytics information

See Chicago, IL salary details

$66.4K

$129.1K

$184.4K

How much do manager predictive analytics jobs pay per year?

As of Jul 17, 2026, the average yearly pay for manager predictive analytics in Chicago, IL is $129,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $153,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Predictive Analytics, and why are they important?

To thrive as a Manager Predictive Analytics, you need a strong background in statistics, data analysis, and predictive modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, and familiarity with machine learning platforms, as well as relevant certifications like SAS or AWS Certified Machine Learning, is typically expected. Outstanding leadership, communication, and problem-solving skills help in leading teams and translating complex insights for stakeholders. These abilities ensure data-driven decision-making, effective project management, and impactful business outcomes.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Director of Data Science or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, big data tools, and leadership experience. Compensation varies by industry, location, and company size.

What are the main challenges faced by a Manager of Predictive Analytics, and how can they be addressed?

A Manager of Predictive Analytics often encounters challenges such as ensuring data quality, bridging communication gaps between technical teams and business stakeholders, and keeping up with rapidly evolving analytical tools and techniques. Addressing these challenges requires fostering strong cross-functional collaboration, implementing robust data governance practices, and encouraging continuous learning among team members. Additionally, setting clear project objectives and maintaining alignment with business goals can help deliver actionable insights and maximize the impact of predictive analytics initiatives.

What is the difference between Manager Predictive Analytics vs Data Scientist?

AspectManager Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often managerial certificationsBachelor's or Master's in Data Science, Statistics, or related field; sometimes PhDs
Work EnvironmentLeads teams, manages projects, collaborates with business unitsDevelops models, analyzes data, experiments with algorithms
Employer & Industry UsageBusiness, finance, marketing, healthcare organizationsTech companies, research institutions, finance, healthcare

While both roles focus on data analysis, the Manager Predictive Analytics oversees teams and strategic projects, whereas Data Scientists primarily develop models and conduct in-depth data analysis. The manager role emphasizes leadership and project management, often requiring experience in analytics tools and business acumen, while Data Scientists focus on technical expertise in algorithms and programming.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, providing insights, and making strategic decisions that require human judgment and domain expertise. The role is evolving to include skills in AI tools and programming languages like Python or R.

What jobs use predictive analytics?

Jobs that use predictive analytics include roles such as data analysts, data scientists, business analysts, marketing analysts, financial analysts, and operations managers. These roles involve analyzing data, building models, and using tools like Python, R, or SAS to forecast trends and support decision-making across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst or progressing into roles like Manager of Predictive Analytics. Success depends on skills, experience, and continuous learning in tools such as SQL, Python, or R, regardless of age. Many professionals transition into analytics later in their careers and find opportunities based on their expertise and adaptability.

What are Manager Predictive Analytics?

A Manager Predictive Analytics is a professional responsible for overseeing teams and projects that use statistical techniques, machine learning, and data analysis to forecast future trends and support business decision-making. They manage the development and implementation of predictive models, ensuring data quality and actionable insights for their organization. In addition to technical expertise, they coordinate with stakeholders to align analytics initiatives with business goals and often mentor data analysts or data scientists within their team.
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 Manager Predictive Analytics jobs in Chicago, IL? For Manager Predictive Analytics jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Manager Predictive Analytics jobs in Chicago, IL look for? The top searched job categories for Manager Predictive Analytics jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Manager Predictive Analytics jobs? Cities near Chicago, IL with the most Manager Predictive Analytics job openings:
Manager Predictive Analytics jobs near you
Predictive Analytics Consultant

Predictive Analytics Consultant

Dunn Solutions Group

Chicago, IL • On-site

Full-time

Posted 21 days ago

Job description

Company Description

Dunn Solutions Group is a full-service information technology consulting firm. We bring exceptional strategic experience, design skills and technology expertise to every project, plus complementary capabilities in client education.
Focused on the business intelligence, application development and web/portal spaces, Dunn Solutions Group delivers services worldwide through offices in Chicago, Minneapolis, Raleigh, St. Louis, and Bangalore, India.
We work closely with our software vendor partners including SAP, Liferay, Microsoft, Informatica and others to deliver solutions to our clients.
Our IT professionals and business experts bridge the gap between business needs and technical solutions. Over the years, we have cultivated our experience and knowledge in a large number of industries and technologies in order to provide our customers with the most valuable solutions possible.
Specialties
Business Intelligence, Custom Application Development, Mobile Applications, Data Warehousing, Portals, E-Commerce
Website
http://www.dunnsolutions.com

Job Description

Dunn Solutions is growing our predictive analytics practice. Come join our experienced business intelligence and analytics team as we leverage the power of data and predictive modeling to change the way our clients run their businesses.  This multi-dimensional role will report directly to our Predictive Analytics Practice Leader and will work with both our internal team and clients in a variety of verticals including retail, healthcare, and finance.
This is a full time position with benefits located right outside of Chicago in our Skokie, IL headquarters.
About Us - Dunn Solutions Group is an information technology consulting firm with exceptional strategic experience, design skills and technologic expertise. Focused on the business intelligence, application development and web/portal spaces, we deliver services through our offices in Chicago, Minneapolis, Raleigh, and Bangalore, India.
We are growing and we are seeking individuals who want careers, not just a job. If you want to make something happen in the technology world and enjoy working on challenging projects, seriously consider joining the Dunn Solutions Team.
Responsibilities
Strong generic understanding of functionality and/or willingness and ability to acquire deep SAP/KXEN knowledge
    Ability to demonstration the value of the solution (not just demonstrate the functionality), and the ability to build a strong working relationship with client and Dunn team.
    Builds and maintains models, including extracting and combining data from multiple sources using languages such as SQL, R, KXEN, SAP Predictive Analytics and SAS.
    Possess teamwork, high integrity, self-starter, can-do attitude, problem solver
    Development of new or revised statistical systems, and problem solving or investigation related to modeling.  Such as, the development of advanced recommendation engine for use and sale to external ecommerce websites.
    Facilitate and manage major internal initiatives and external client needs that use advanced mathematical and structured algorithms
    Develop prototypes in client IT environment
Desired Skills and Experience
Advanced Analytics; needs experience actually building and deploying predictive models. Additionally, the candidate needs to have a fundamental statistics knowledge to be able to answer questions about underlying algorithms and processes. Preferred skills:  Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, Association Rule, Linear and non-linear regression, hierarchical mixed models/ multi-level modeling
    1+ years of work experience in predictive projects
    Consulting experience would be preferred
    Experience with and comfort in discussing the role of analytics in customer lifecycle analytics
    Intermediate to advanced programming skills enabling the individual to extract and manipulate data (R, Python, SAS, SQL, KXEN, and SAP Predictive Analytics).
    Knowledge of data integration processes
    Knowledge of data mining
    Some experience performing data mining or statistical analysis in Retail, Insurance or Financial Services preferred
    Fluent English is compulsory, additional languages are a plus.
    Ability to travel 30%
EDUCATION :
Minimum of a Bachelor's Degree and/or PhD in Statistics/Applied Statistics, Applied Mathematics, or Economics

Qualifications

1+ years of work experience in predictive projects
    Consulting experience would be preferred
    Experience with and comfort in discussing the role of analytics in customer lifecycle analytics
    Intermediate to advanced programming skills enabling the individual to extract and manipulate data (R, Python, SAS, SQL, KXEN, and SAP Predictive Analytics).
    Knowledge of data integration processes
    Knowledge of data mining
    Some experience performing data mining or statistical analysis in Retail, Insurance or Financial Services preferred
    Fluent English is compulsory, additional languages are a plus.
    Ability to travel 30%

EDUCATION :
Minimum of a Bachelor's Degree and/or PhD in Statistics/Applied Statistics, Applied Mathematics, or Economics


Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply