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Geospatial Intelligence Analyst Jobs in Chicago, IL

Cushman & Wakefield

Junior Data Scientist

Chicago, IL · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS ...

Cushman & Wakefield

Junior Data Scientist

Chicago, IL · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS ...

Cushman & Wakefield

Junior Data Scientist

Chicago, IL · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS ...

The Altus Group

Consultant, Advisory (Atlanta)

Chicago, IL · On-site +1

$65K - $95K/yr

... Analytics division. In this position, the Consultant will be responsible for managing the daily ... The visuals used are formats tables, charts and graphs, diagrams, plots, geospatial maps, figures ...

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Partner with PRI (Property Research & Intelligence), TDS (Technology Data Solutions), GIS ... Partner with Head of Data Science & Geospatial Analytics to build state-of-the-art, novel real ...

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Partner with PRI (Property Research & Intelligence), TDS (Technology Data Solutions), GIS ... Partner with Head of Data Science & Geospatial Analytics to build state-of-the-art, novel real ...

CBRE

GIS Technician Apprentice/Internship

Chicago, IL · On-site

$22/hr

Learning to work with large data sets for analysis of geospatial information, with manager ... We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that ...

Motorola

Senior DevOps Engineer (US REMOTE)

Chicago, IL · Remote

$140K - $170K/yr

The solutions we create apply exciting technologies such as geospatial visualization and analytics, high throughput communications, artificial intelligence, and numerous integrations with Motorola ...

Motorola

Senior DevOps Engineer (US REMOTE)

Schaumburg, IL · Remote

$140K - $170K/yr

The solutions we create apply exciting technologies such as geospatial visualization and analytics, high throughput communications, artificial intelligence, and numerous integrations with Motorola ...

All JobsGeospatial Intelligence Analyst JobsGeospatial Intelligence Analyst Jobs in Chicago, IL

Geospatial Intelligence Analyst information

See Chicago, IL salary details

$22.7K

$79.8K

$125.7K

How much do geospatial intelligence analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for geospatial intelligence analyst in Chicago, IL is $79,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $82,400.00 per year, depending on experience, location, and employer.

Is a geospatial intelligence analyst a good career?

A geospatial intelligence analyst is a valuable role that involves analyzing geographic data to support national security, defense, and intelligence operations. The job typically requires skills in GIS software, remote sensing, and data analysis, with opportunities for advancement and specialized certifications. It offers a stable career path with demand in government agencies and defense contractors.

What are the key skills and qualifications needed to thrive as a geospatial intelligence analyst?

To thrive as a Geospatial Intelligence Analyst, you need strong analytical skills, a background in geography or related fields, and proficiency in interpreting spatial data, usually supported by a relevant degree or military training. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing tools, and intelligence analysis systems is typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for conveying complex information and collaborating with multidisciplinary teams. These skills and qualifications are crucial for producing accurate intelligence assessments that inform decision-making and national security operations.

Is geospatial intelligence a good career?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental efforts. It often requires skills in GIS software, remote sensing, and data analysis, with opportunities for advancement and specialized certifications. The career can be stable and rewarding for those interested in technology and spatial data analysis.

What is the difference between Geospatial Intelligence Analyst vs GIS Analyst?

AspectGeospatial Intelligence AnalystGIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; security clearance often preferredBachelor's in Geography, GIS, or related field; certifications like GISP beneficial
Work EnvironmentGovernment agencies, defense, intelligence, militaryUrban planning, environmental agencies, private sector
Employer & Industry UsagePrimarily in defense, intelligence, national securityPublic and private sectors, urban planning, environmental management

While both roles involve geospatial data, Geospatial Intelligence Analysts focus on national security and defense applications, often requiring security clearances. GIS Analysts typically work in urban planning, environmental management, and commercial sectors, emphasizing geographic data analysis for various projects.

What does a geospatial intelligence analyst do?

As a geospatial intelligence analyst, your job is to support national defense operations by using visual images to gather information about geography and landscapes. Many details of this job depend on the employer and their needs, but you may perform tasks like finding alternative routes for blocked roads or searching for areas that could be used to ambush convoys. Geospatial intelligence officers often work for the military or the federal government, either as full-time employees or independent contractors. However, you may also be able to find a few private security jobs. You can do this work alone, but intelligence analysts often work with local law enforcement or other organizations to research time-sensitive questions.

How does a geospatial intelligence analyst typically collaborate with other teams within an organization?

Geospatial Intelligence Analysts often work closely with multidisciplinary teams, including data scientists, military personnel, and policy makers. They collaborate to interpret satellite imagery, analyze spatial data, and provide actionable intelligence for decision-making. Regular communication and coordination are essential to ensure that geospatial insights are effectively integrated into broader intelligence products and mission planning. This collaborative environment helps analysts refine their findings and ensures that their work supports overall organizational objectives.
More about Geospatial Intelligence Analyst jobs
What are popular job titles related to Geospatial Intelligence Analyst jobs in Chicago, IL? For Geospatial Intelligence Analyst jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Geospatial Intelligence Analyst jobs in Chicago, IL look for? The top searched job categories for Geospatial Intelligence Analyst jobs in Chicago, IL are:
Geospatial Intelligence Analyst jobs near you
Infographic showing various Geospatial Intelligence Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $79,830 per year, or $38.4 per hour.

Consultative Offerings - Analyst - Forensic Analytics

Deloitte

Chicago, IL • On-site

Other

Re-posted 23 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

As a Forensic Analytics Analyst, you'll use your technology and data analytics skills to help clients address business challenges related to regulatory, risk, and forensic issues. You'll develop data analysis plans, create analytics strategies, assess models, and design solutions. By analyzing risk through data and technology, you'll help build a more trustworthy and reliable world.

Work You'll Do

As a Forensic Analytics Analyst, you will:

  • Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you'll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects
  • Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management
  • Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future
  • Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights
  • Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance
  • Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns
  • Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques
  • Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies
  • Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement
Regardless of type of work, your work may require:

  • Strong verbal and written communication skills for effective client and team interactions
  • Ability to work independently and manage multiple responsibilities in a fast-paced environment
  • Problem-solving and critical thinking skills to drive innovation and operational improvements
  • Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders
  • Quick to learn and apply new concepts, frameworks, and emerging technologies
  • Proactive in managing personal and professional growth and expanding consulting skills
  • Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint
The Team

Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor's degree or higher in one of the following majors or a related/equivalent program:
    • Technology: Data Analytics, Computer Science, Management Information Systems
    • Business: Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
    • Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics
  • Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred).
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Candidates must be at least 18 years of age at time of employment
  • Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date
Preferred Qualifications

  • Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
    • Microsoft SQL Server, Oracle
    • Predictive Analytics/Data Mining: (e.g. Python)
    • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
    • Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)
    • Reporting Tools (e.g. Business Objects, Reporting Services)
    • Machine Learning / GenAI
    • Cloud Computing (e.g. AWS, Azure, etc.)
OR
  • Meet minimal educational requirements for CPA licensure (which may differ from the educational requirements to sit for the CPA exam) in the state of your assigned office location

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate is $95,000.

Qualifications:
Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

As a Forensic Analytics Analyst, you'll use your technology and data analytics skills to help clients address business challenges related to regulatory, risk, and forensic issues. You'll develop data analysis plans, create analytics strategies, assess models, and design solutions. By analyzing risk through data and technology, you'll help build a more trustworthy and reliable world.

Work You'll Do

As a Forensic Analytics Analyst, you will:

  • Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you'll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects
  • Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management
  • Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future
  • Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights
  • Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance
  • Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns
  • Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques
  • Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies
  • Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement
Regardless of type of work, your work may require:

  • Strong verbal and written communication skills for effective client and team interactions
  • Ability to work independently and manage multiple responsibilities in a fast-paced environment
  • Problem-solving and critical thinking skills to drive innovation and operational improvements
  • Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders
  • Quick to learn and apply new concepts, frameworks, and emerging technologies
  • Proactive in managing personal and professional growth and expanding consulting skills
  • Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint
The Team

Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor's degree or higher in one of the following majors or a related/equivalent program:
    • Technology: Data Analytics, Computer Science, Management Information Systems
    • Business: Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
    • Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics
  • Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred).
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Candidates must be at least 18 years of age at time of employment
  • Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date
Preferred Qualifications

  • Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
    • Microsoft SQL Server, Oracle
    • Predictive Analytics/Data Mining: (e.g. Python)
    • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
    • Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)
    • Reporting Tools (e.g. Business Objects, Reporting Services)
    • Machine Learning / GenAI
    • Cloud Computing (e.g. AWS, Azure, etc.)
OR
  • Meet minimal educational requirements for CPA licensure (which may differ from the educational requirements to sit for the CPA exam) in the state of your assigned office location

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organiza...

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