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Open Source Intelligence Analyst Jobs in Raleigh, NC

Fidelity Investments

Director, Data Science

Durham, NC · On-site

... Intelligence (AI/ML) community, in support of the strategic direction of the business unit and to ... using open-source AI fairness and ethics libraries. * DE analyzing technology solutions for ...

Fidelity Investments

Director, Data Science

Durham, NC · On-site

... Intelligence (AI/ML) community, in support of the strategic direction of the business unit and to ... using open-source AI fairness and ethics libraries. * DE analyzing technology solutions for ...

Redhat

Software Engineer

Raleigh, NC · On-site +1

$96K - $154K/yr

Evaluate open source solutions to meet business needs * Participate in periodic L3 application ... analysis and design * 6+ years of experience in Java, including Spring and Maven or other object ...

Redhat

Software Quality Engineer

Raleigh, NC · On-site +1

$113K - $158K/yr

Triage and debug testing failures, coordinating with product teams on root cause analysis. What You ... We're a leader in open source because of our open and inclusive environment. We hire creative ...

Redhat

Principal Data Engineer

Raleigh, NC · On-site +1

$137K - $203K/yr

Work with analysts and their data sets in SQL, Python, R to optimize and troubleshoot ways to ... We're a leader in open source because of our open and inclusive environment. We hire creative ...

Redhat

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

S. or foreign equivalent) in Computer Science, Analytics, or related field and three (3) years of ... We're a leader in open source because of our open and inclusive environment. We hire creative ...

Cloudera

Key Account Director

Raleigh, NC · On-site

Powered by the relentless innovation of the open source community, Cloudera advances digital ... We have a platform that delivers incredible Data and Analytics technology across On- Prem, Public ...

Redhat

Software Engineer

Durham, NC · On-site +1

$96K - $154K/yr

... analysis through advanced model context management. * Build and secure cloud services using ... We're a leader in open source because of our open and inclusive environment. We hire creative ...

SAS

Manager, Software Development

Cary, NC · On-site

$115K - $152K/yr

Be encouraged to participate in open source projects on behalf of SAS. * Ensure all applicable ... intelligence, MarTech, or analytics platforms. Benefits Highlights * Industry-leading Recreation ...

SAS

Manager, Software Development

Cary, NC

$115K - $152K/yr

Be encouraged to participate in open source projects on behalf of SAS. * Ensure all applicable ... intelligence, MarTech, or analytics platforms. Benefits Highlights * Industry-leading Recreation ...

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All JobsOpen Source Intelligence Analyst JobsOpen Source Intelligence Analyst Jobs in Raleigh, NC

Open Source Intelligence Analyst information

See Raleigh, NC salary details

$49.6K

$95.9K

$142.4K

How much do open source intelligence analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for open source intelligence analyst in Raleigh, NC is $95,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $119,600.00 per year, depending on experience, location, and employer.

Does OSINT pay well?

Open Source Intelligence (OSINT) analysts can earn competitive salaries, especially with experience, specialized skills, and security clearances. Entry-level positions typically start around industry average, while experienced analysts working for government agencies or private firms can earn higher wages, often supplemented by certifications and advanced training.

What are the typical daily responsibilities of an Open Source Intelligence Analyst?

As an Open Source Intelligence Analyst, your daily responsibilities will include monitoring and collecting information from publicly available sources such as news outlets, social media, forums, and government databases. You'll analyze and verify the credibility of data, compile reports, and provide actionable intelligence to internal teams or clients. Collaboration with cybersecurity, risk management, and law enforcement teams is common, ensuring relevant information is integrated into larger security strategies. You may also support incident response efforts and brief stakeholders on emerging threats or trends.

What are the key skills and qualifications needed to thrive in the Open Source Intelligence Analyst position, and why are they important?

To thrive as an Open Source Intelligence Analyst, you need strong analytical skills, attention to detail, and a solid understanding of information gathering and verification, typically supported by a relevant degree in intelligence studies, cybersecurity, or a related field. Experience with technical tools such as Maltego, Palantir, social media monitoring platforms, and certifications like Certified Cyber Intelligence Professional (CCIP) are highly valuable. Excellent critical thinking, written and verbal communication, and the ability to work independently or in teams are important soft skills. These competencies are crucial to accurately collect, assess, and present actionable intelligence from diverse open-source materials in support of organizational goals.

How much do open source intelligence analysts make?

Open Source Intelligence Analysts typically earn between $60,000 and $100,000 annually, depending on experience, location, and security clearance levels. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries, especially in government or private sector roles that require advanced tools and analysis techniques.

What does an Open Source Intelligence Analyst do?

An Open Source Intelligence (OSINT) Analyst collects, analyzes, and interprets publicly available data from sources like social media, news articles, forums, and government reports. They identify threats, investigate persons of interest, or support decision-making for organizations, law enforcement, or national security agencies. OSINT Analysts use specialized tools and techniques to gather, verify, and assess information while ensuring ethical and legal compliance. Their work helps organizations mitigate risks, track emerging trends, and enhance situational awareness.

What does an open source intelligence analyst do?

An open source intelligence analyst collects, evaluates, and analyzes publicly available information from sources such as social media, news outlets, and online databases to support security, intelligence, or investigative efforts. They use tools like data mining and analysis software and often require strong research skills and knowledge of cybersecurity or intelligence methodologies.

Is OSINT in demand?

Open Source Intelligence (OSINT) analysts are increasingly in demand across government agencies, private sector firms, and cybersecurity organizations 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 Analyst jobs in Raleigh, NC? The most popular types of Open Source Intelligence Analyst jobs in Raleigh, NC are:
What are popular job titles related to Open Source Intelligence Analyst jobs in Raleigh, NC? For Open Source Intelligence Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Open Source Intelligence Analyst jobs in Raleigh, NC look for? The top searched job categories for Open Source Intelligence Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Open Source Intelligence Analyst jobs? Cities near Raleigh, NC with the most Open Source Intelligence Analyst job openings:
Open Source Intelligence Analyst jobs near you
Infographic showing various Open Source Intelligence Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $95,859 per year, or $46.1 per hour.
Director, Data Science

Director, Data Science

Fidelity Investments

Durham, NC • On-site

Full-time

Retirement

Posted 3 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

Job description


Position Description:
Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing, preparation, annotation, feature engineering, exploratory analysis, and model development. Provides strategic direction on Machine Learning (ML) pipeline architecture, ensures alignment with business objectives, and drives cross-functional collaboration to deliver scalable, high-impact solutions. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by building, testing and monitoring AI models. Researches and recommends new technologies, and seizes opportunities by staying abreast of publications, tools, and techniques from the global Artificial Intelligence (AI/ML) community, in support of the strategic direction of the business unit and to achieve business-unit-wide solutions.
Primary Responsibilities:
  • Identifies business opportunities and evaluates best approaches for predictive or prescriptive analytics.
  • Implements best practices for model development, iteration, as well as code management and conducts code reviews.
  • Draws key business insights from advanced quantitative analyses and presents findings to broader audience.
  • Leads the design and deployment of advanced analytics solutions that convert raw data into actionable intelligence.
  • Delivers scalable insights, while aligning analytics infrastructure with business priorities.
  • Directs the development and integration of analytics frameworks that transform raw data into strategic insights.
  • Ensures solutions are scalable, business-aligned, and drive data-informed decision-making across the organization.
  • Leads and oversees the full AI/ML lifecycle -- data ingestion, model development, training, deployment, and monitoring.
  • Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
  • Consults on deployment of major project deliverables.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Sets vision, goals, and direction of team/organization.
  • Plans and leads organization-wide initiatives.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.

Education and Experience:
Bachelor's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Or, alternatively, Master's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") developing supervised and unsupervised Machine Learning (ML) algorithms -- regression, gradient boosting trees/random forest, neural network, feature selection/reduction, clustering, and parameter tuning -- using R, Python, and SAS programming languages; and analyzing and evaluating model results by creating data visualizations and business intelligence reports in Tableau and Adobe Analytics.

  • DE performing data wrangling and feature engineering for large, complex data across Cloud and on-premise data warehouses -- Oracle, Greenplum/Postgres, Hadoop/Hive, Snowflake, S3, and Redis -- using SQL, Python, and database specific SQL; standardizing and optimizing complex queries using database techniques -- partitioning and parallel processing; aggregating time series and transaction tables; creating appropriate features for modeling out of structured and unstructured data; detecting and preventing data leakage and model biases through model fairness measures using open-source AI fairness and ethics libraries.

  • DE analyzing technology solutions for supporting model deployment and integration in Cloud and on premise environments; and building model deployment and integration workflows on Amazon Web Services (AWS), on-premise Hadoop, and UNIX platforms through Git, Jenkins, Python scripts, cron jobs, step functions, Docker images, and APIs.

  • DE migrating existing AI/ML processes from on-premise environments to AWS platforms, using Extract- Transform-Load (ETL) procedures, Python, and Docker containers; creating data quality guardrails to validate model inputs and outputs using ICEDQ; and addressing financial services Cloud security constraints and record systems for workplace services -- 401(K), defined benefits, and workplace compensation and retirement plans, using AWS security tools.

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#LI-DNI
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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