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Manager Data Mining Jobs in Chicago, IL (NOW HIRING)

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

... mining and analysis for ad hoc projects will include: exploratory data analysis, and data visualization. • Develop insightful dashboards that management can use to produce informed business ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics ... We also come in with strong IP and pre-built analytics solutions in data mining, business ...

Data Analyst

Chicago, IL · On-site

$18/hr

... data mining and electronic documentation study · Make recommendations about the methods the department should use to collect, analyze and manage data to improve data quality and the efficiency of ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics ... We also come in with strong IP and pre-built analytics solutions in data mining, business ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

... data mining, web scraping, cleaning and organizing the data into both SQL and NoSQL databases. Further responsibilities will include building efficient APIs to communicate the data and managing ...

Work with management to prioritize business and information needs Who we're looking for * Proven ... Technical expertise regarding data models, database design development, data mining and ...

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Manager Data Mining information

See Chicago, IL salary details

$31.9K

$100.1K

$177.2K

How much do manager data mining jobs pay per year?

As of Aug 10, 2026, the average yearly pay for manager data mining in Chicago, IL is $100,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $129,300.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Mining vs Data Analyst?

AspectManager Data MiningData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; experience in data mining and team managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentLeads data mining teams, collaborates with multiple departments, oversees projectsAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare industries for strategic insightsCommon across various industries for operational analysis

The main difference is that a Manager Data Mining oversees data mining projects and teams, focusing on strategic implementation, while a Data Analyst primarily conducts data analysis and reporting. Managers handle higher-level planning and coordination, whereas Data Analysts focus on data interpretation and insights.

What are the most commonly searched types of Data Mining jobs in Chicago, IL? The most popular types of Data Mining jobs in Chicago, IL are:
What job categories do people searching Manager Data Mining jobs in Chicago, IL look for? The top searched job categories for Manager Data Mining jobs in Chicago, IL are:

Data Scientist

Hanchey

Chicago, IL • On-site

$90K - $130K/yr

Full-time

Re-posted 9 days ago


Job description


The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects. Upon acquiring new business, the DSC owns the remaining phases of the project lifecycle:definition/planning, execution and completion.
The definition/planning and execution phases focus on identifying relationships across data sources to provide insight into the individual and environmental characteristics and factors that drive behaviors and outcomes in the casualty and absence space. Methods include basic descriptive approaches including trending and visualization to advanced causal analysis rooted in statistics and data mining techniques. The DSC interprets results and presents findings to clients coupled with solutions for preventing or mitigating future exposures in conjunction with product line teams brought into the project as needed and as outlined in the project acquisition process.
Skills:
  • Significant knowledge of statistics and data mining methods such as, but not limited to, various forms of regression analysis and decision tree techniques
  • Familiarity with visualizations tools such a Qlik or Tableau
  • Understanding of data warehousing concepts
  • Highly developed communication skills covering report development, presentation, and meeting management
  • Project management
  • Organized and collaborative
  • Self-starter that works well alone as well as in a group

Requirements
Bachelor's degree in mathematics, statistics, or related field; Masters or advanced certificate in data analytics preferred.
7-10 years of experience in the data science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence management industry preferred.