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Open Source Data Mapping Jobs (NOW HIRING)

Conducting social network analysis to map relationships, influence networks, and threat actors ... Ability to query data from Federated OSINT Databases to build comprehensive target profiles.

Source data → target table structures * Mapping logic and dependencies Data Analysis & Validation * Accessing data and running SQL queries for analysis * Performing data profiling and quality ...

Conducting social network analysis to map relationships, influence networks, and threat actors ... Ability to query data from Federated OSINT Databases to build comprehensive target profiles.

Senior Data Analyst/Modeler

Washington, DC

$97K - $122K/yr

The Senior Data Analyst/Modeler is a highly trained professional who will become an expert in our source data and lead the data mapping effort to migrate the data into our new enterprise data ...

Dynamis is seeking a Junior Open-Source Intelligence Analyst to support Immigration and Customs ... Identify key targeting data (e.g., addresses, vehicles, places of employment, associates, etc ...

Leverage big data tools to conduct network analysis and uncover patterns in large datasets ... deployed network mapping and correlation tools. * Experience working closely with, or in ...

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Open Source Data Mapping information

What are the key skills and qualifications needed to thrive in Open Source Data Mapping, and why are they important?

To thrive in Open Source Data Mapping, you need strong analytical skills, proficiency in data modeling, and a background in computer science or geographic information systems. Familiarity with tools such as QGIS, OpenStreetMap, Python, and data transformation frameworks is common, and certifications in GIS or data analysis can be advantageous. Attention to detail, collaboration, and effective communication are vital soft skills for managing complex datasets and engaging with the open-source community. These skills ensure accurate, high-quality data contributions and facilitate successful teamwork on open-source mapping projects.

What are some common challenges faced when collaborating with global contributors in open source data mapping projects?

Collaborating with a global community in open source data mapping projects often involves navigating time zone differences, diverse technical backgrounds, and varying standards for data quality. Clear documentation, regular communication, and transparent decision-making processes are essential to ensure smooth collaboration. Additionally, contributors may use different mapping tools or formats, so aligning on common protocols and providing onboarding resources can help foster productive teamwork and maintain data consistency.

What is Open Source Data Mapping?

Open Source Data Mapping involves using freely available tools and platforms to create, visualize, and share maps based on geographic or other structured data. Professionals in this field collect, organize, and translate raw data into usable formats, often collaborating with communities or organizations to make information accessible and actionable. These projects are typically collaborative and transparent, allowing anyone to contribute or use the resulting maps and data. Open Source Data Mapping is widely used in urban planning, humanitarian work, environmental monitoring, and more.
Infographic showing various Open Source Data Mapping job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.
Senior Open Source Intelligence Analyst

Senior Open Source Intelligence Analyst

The Midtown Group

Arlington, VA • On-site

Full-time

Posted 4 days ago


Job description

A federal client is seeking a highly experienced Open-Source Intelligence (OSINT) Analyst to support enterprise fraud detection, intelligence analysis, and risk mitigation efforts. The selected candidate will leverage advanced analytical techniques, open-source intelligence collection, and fraud analytics expertise to identify emerging fraud schemes, suspicious operational activity, and threat patterns impacting financial and operational environments.
This role requires strong investigative instincts, technical analytical capabilities, and the ability to translate complex findings into actionable intelligence products for leadership, audit, compliance, and investigative stakeholders.
Key Responsibilities

  • Identify, track, and monitor emerging fraud typologies across financial and operational channels using intelligence-gathering and fraud-analysis methodologies.
  • Conduct open-source intelligence (OSINT) analysis across forums, social media platforms, dark/deep web sources, news media, public records, and geospatial data to identify fraudulent communication channels and techniques.
  • Build and maintain fraud indicators, risk scores, and watchlists using internal datasets and external intelligence sources.
  • Develop analytical queries, dashboards, and automated alerts to detect anomalous patterns including counterfeit documentation, suspicious claims activity, identity misuse, and operational irregularities.
  • Perform link analysis using open-source and internal data to identify fraud networks, relationships, and scheme interdependencies.
  • Produce high-quality intelligence products including threat assessments, trend analyses, subject profiles, timelines, and geo-based heat maps.
  • Collaborate with audit, investigative, compliance, and data teams to share intelligence, escalate issues, and support investigative activities.
  • Identify emerging risks and trends based on severity, impact, and operational exposure while ensuring proper evidentiary documentation standards.
  • Recommend preventive, detective, and mitigative fraud controls and monitoring strategies.
  • Monitor changes in regulations, policies, technologies, and criminal methodologies to anticipate evolving fraud risks and operational threats.
Required Qualifications
  • US Citizenship required
  • Proven experience conducting open-source intelligence (OSINT) analysis to identify, track, and monitor emerging fraud typologies.
  • Experience developing and maintaining fraud indicators, risk scores, watchlists, and monitoring methodologies using internal and external intelligence sources.
  • Proficiency creating analytical queries, dashboards, and automated alerting mechanisms to identify anomalous or suspicious activity.
  • Demonstrated ability to conduct link analysis and uncover fraud networks using open-source and operational data.
  • Experience producing defensible intelligence products including threat assessments, trend analyses, timelines, profiles, and geospatial visualizations.
  • Strong collaboration skills with investigative, audit, compliance, and technical teams.
  • Excellent written and verbal communication skills with the ability to present findings to executive and non-technical audiences.
Desired Knowledge, Skills, and Abilities
  • Strong knowledge of fraud schemes, fraud-detection methodologies, and applicable regulatory frameworks.
  • Experience with Microsoft Power BI and other visualization, link-analysis, or intelligence platforms.
  • Working knowledge of SQL and Python or R for data preparation, anomaly detection, and analytical modeling.
  • Ability to transform operational observations into actionable data insights and intelligence products.
  • Excellent planning, organizational, and time management skills.
Education & Experience
  • Bachelor's degree in Intelligence Studies, Criminal Justice, Cybersecurity, Data Analytics, Information Systems, or a related field.
  • Minimum of 10 years of professional experience in open-source intelligence analysis, fraud analytics, investigations, or related disciplines preferred.
  • Professional certifications preferred, including:
    • Certified Fraud Examiner (CFE)
    • Certified Internal Auditor (CIA)
    • Certified Information Systems Auditor (CISA)
    • Or equivalent industry-recognized certifications
The Midtown Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are a small, woman-owned business certified by the Women's Business Enterprise National Council (WBENC). Operating from our headquarters in Washington, DC, we provide trusted staffing services nationwide. Our clients include thousands of the most prestigious Fortune 500 companies, law firms, financial organizations, tech innovators, non-profits, and lobbying firms, as well as federal, state and local government agencies.