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From Home Predictive Analytics Jobs in Chicago, IL

Data Scientist Chicago, IL (3 days/week onsite in the loop; 2 days WFH) Summary The Data Scientist ... Must have at least 2 years of experience with predictive analytics * Must have strong Python ...

Customer Reliability Engineer

Lisle, IL

$101.10K - $127.20K/yr

We develop and deliver real time predictive analytics that make an impact by eliminating unplanned ... Bachelor's Degree in an engineering discipline from an accredited university or college. Minimum 1 ...

Own the analytics stack end to end, from data modeling in Snowflake to dashboards in Metabase ... Support the evolution toward predictive and forward looking analytics What we are looking for:

Predictive Maintenance Specialist

Chicago, IL · On-site

$21.50 - $29.50/hr

This position will leverage advanced technologies and data analytics to enhance the efficiency ... Choose from 401(k) pre-tax and/or Roth after-tax savings * Employee Stock Purchase Plan * Medical ...

Data Analyst As a Data Analyst, you'll focus on managing data, both from a technical standpoint and ... Interpret data sets, identifying trends, patterns relevant for diagnostics and predictive analytics ...

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From Home Predictive Analytics information

See Chicago, IL salary details

$27.8K

$116.1K

$206.5K

How much do from home predictive analytics jobs pay per year?

As of May 28, 2026, the average yearly pay for from home predictive analytics in Chicago, IL is $116,120.00, 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 the difference between From Home Predictive Analytics vs Data Analyst?

AspectFrom Home Predictive AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentRemote, home-based role with flexible hoursTypically office-based, but remote options are common
Industry UsageUsed across tech, finance, marketing for predictive modelingUsed in various industries for data interpretation and reporting
Common Search/ComparisonOften compared for roles involving predictive modeling from homeCompared for data interpretation roles in analytics

From Home Predictive Analytics focuses on building models to forecast future trends remotely, requiring skills in machine learning and statistical modeling. Data Analysts interpret existing data to generate reports and insights, often with less emphasis on predictive modeling. Both roles may overlap but differ mainly in their focus on prediction versus analysis and work environment.

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:
Predictive Analytics Consultant

Predictive Analytics Consultant

Dunn Solutions Group

Chicago, IL

Full-time

Posted 20 hours 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

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