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Open Source Intelligence Jobs in Chicago, IL (NOW HIRING)

Cyber Threat Analyst

Chicago, IL · On-site

$69K - $108K/yr

Collect, analyze, and triage tactical and operational cyber threat intelligence from internal, open-source, government, industry, and commercial intelligence sources. * Operate and continuously ...

Cyber Threat Analyst

Chicago, IL · On-site

$69K - $108K/yr

Collect, analyze, and triage tactical and operational cyber threat intelligence from internal, open-source, government, industry, and commercial intelligence sources. * Operate and continuously ...

Cyber Threat Analyst

Chicago, IL · On-site

$70 - $108/hr

Collect, analyze, and triage tactical and operational cyber threat intelligence from internal, open-source, government, industry, and commercial intelligence sources. * Operate and continuously ...

Cyber Threat Analyst

Chicago, IL · Hybrid

$69K - $108K/yr

Collect, analyze, and triage tactical and operational cyber threat intelligence from internal, open-source, government, industry, and commercial intelligence sources. * Operate and continuously ...

Data Architect (Snowflake)

Chicago, IL

$65.75 - $84.50/hr

... intelligence, analytics - 4+ years of experience in architecture for commercial scale data ... data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase ...

Showing results 41-60

Open Source Intelligence information

See Chicago, IL salary details

$52.6K

$101.7K

$151K

How much do open source intelligence jobs pay per year?

As of Sep 7, 2026, the average yearly pay for open source intelligence in Chicago, IL is $101,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $126,800.00 per year, depending on experience, location, and employer.

What is an open source intelligence?

An Open Source Intelligence (OSINT) job involves collecting, analyzing, and interpreting publicly available data to support decision-making in cybersecurity, law enforcement, business, or government operations. OSINT analysts gather information from sources like social media, news articles, public records, and databases to identify threats, trends, or insights. These professionals use various tools and techniques to verify and contextualize data while adhering to ethical and legal guidelines. The role requires strong analytical skills, attention to detail, and knowledge of data privacy laws to ensure responsible use of information.

What are the key skills and qualifications needed to thrive in open source intelligence?

To thrive in Open Source Intelligence (OSINT), you need strong analytical skills, a deep understanding of internet research techniques, and familiarity with information verification, often supported by degrees in fields such as criminal justice, cybersecurity, or intelligence studies. Experience with specialized OSINT tools like Maltego, Recon-ng, and knowledge of data privacy legislation are highly valued, as are certifications such as GIAC Open Source Intelligence (GOSI). Attention to detail, ethical integrity, and effective communication are crucial soft skills for interpreting and reporting findings clearly. These skills are important because they ensure the accurate, lawful, and actionable gathering of data from open sources to support security, investigative, or decision-making objectives.

What are some typical challenges faced by professionals in open source intelligence?

Professionals working in Open Source Intelligence (OSINT) commonly face challenges such as information overload, verifying the credibility of sources, and navigating rapidly evolving digital platforms. They must also stay current with legal and ethical considerations when collecting and analyzing publicly available data. Collaboration with cybersecurity, law enforcement, or intelligence teams is frequent to ensure findings are integrated effectively. Developing efficient research strategies and maintaining a critical mindset are key to overcoming these obstacles and delivering actionable intelligence in a timely manner.

Are there open source intelligence jobs?

Open Source Intelligence (OSINT) jobs involve collecting and analyzing publicly available information for security, research, or investigative purposes. These roles are common in government agencies, private security firms, and consulting companies, often requiring skills in data analysis, research tools, and sometimes certifications like OSINT certifications or security clearances.

How do I get started in Open Source Intelligence?

To start a career in Open Source Intelligence (OSINT), develop skills in research, data analysis, and cybersecurity tools such as Maltego or OSINT frameworks. Gain knowledge of online sources, social media platforms, and legal considerations, and consider certifications like the GIAC Open Source Intelligence Certification (GX0-01) to validate your expertise.

How to get a job in open source intelligence?

To get a job in open source intelligence, candidates should develop skills in data analysis, research, and cybersecurity tools, often through relevant degrees or certifications such as OSINT certifications. Gaining experience with intelligence platforms, programming languages like Python, and understanding legal and ethical considerations can improve employability. Networking within intelligence communities and staying updated on industry trends also help in securing positions in this field.

Is open source intelligence work in demand?

Open source intelligence (OSINT) analysts are in increasing demand across government agencies, private security firms, and corporations due to the need for data collection and analysis from publicly available sources. Skills in research, data analysis, and familiarity with tools like Maltego or OSINT frameworks enhance employability in this growing field.

What are the most commonly searched types of Open Source Intelligence jobs in Chicago, IL?

The most popular types of Open Source Intelligence jobs in Chicago, IL are:

What job categories do people searching Open Source Intelligence jobs in Chicago, IL look for?

The top searched job categories for Open Source Intelligence jobs in Chicago, IL are:

Infographic showing various Open Source Intelligence job openings in Chicago, IL as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $101,671 per year, or $48.9 per hour.

R247170 Principal Data Analyst - BIN/IIN Management (Open)

Capital One

Riverwoods, IL • On-site

Full-time

Posted 6 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

89th of 175 rated banks


Job description

R247170 Principal Data Analyst - BIN/IIN Management (Open)
Job Description
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged on three types of work - Innovation, Business Intelligence and Data Management:
Innovation
  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence
  • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
  • Drive analysis that provides meaningful insights on business strategies

Data Management
  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
  • Build and execute tools to monitor and report on data quality

Our ideal candidate will have:
  • Degree specialized in a Science, Technology, Engineering, Mathematics discipline
  • Scripting experience in (Python, R, Spark, and SQL)
  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
  • Experience utilizing and developing within AWS services

Basic Qualifications
  • Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
  • At least 3 years of experience working with at least one scripting language
  • At least 3 years of experience utilizing a business intelligence visualization tool
  • At least 3 years of experience in querying, analyzing and working with data languages and platforms

Preferred Qualifications:
  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 4 years of experience coding in Python, R, Spark, or SQL
  • At least 4 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.
  • At least 2 years of experience utilizing and developing within AWS services
  • At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $131,300 - $149,800 for Principal Data Analyst
Richmond, VA: $119,400 - $136,200 for Principal Data Analyst
Riverwoods, IL: $119,400 - $136,200 for Principal Data Analyst
Chicago, IL: $119,400 - $136,200 for Principal Data Analyst
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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