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Open Source Data Mapping Jobs (NOW HIRING)

Compare algorithm outputs with transit source data to ensure accuracy * Use mapping and imagery tools such as Google Street View, Cyclomedia, and GIS platforms for stop verification * Review bus stop ...

Looking for meta data candidates but are also open to the following: - data lineage - data architecture - source to target mapping - data mapping Additional Information To get further details or to ...

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 ...

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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

ECS Limited

Arlington, VA • On-site

Full-time

Posted 4 days ago


Job description

Senior Open Source Intelligence Analyst

ECS is seeking a Senior Open Source Intelligence Analyst to work in our Arlington, VA office.

Responsibilities Include:

  • Intelligence & Analytics:
  • Identify, track, and monitor emerging fraud typologies across financial and operational channels using fraud and intelligence gathering expertise.
  • Conduct analysis of open sources to identify fraudulent communication channels and techniques, including forums, social media, dark/deep web, news media, public records, and geospatial data.
  • Build and maintain fraud indicators, risk scores, and watchlists using internal data and external intelligence sources.
  • Develop analytical queries, dashboards, and automated alerts to uncover anomalous patterns such as counterfeit documentation, suspicious claims activity, identity misuse, or operational irregularities.
  • Leverage open-source data and information to conduct link analysis to uncover fraud networks and schemes.
  • Cross-Functional Collaborations:
  • Produce high-quality intelligence products including threat assessments, trend analyses, profiles, timelines, and geo-based heat maps.
  • Partner with internal stakeholders to share intelligence, escalate issues, and support audit and investigative efforts.
  • Identify issues and trends based on severity, potential impact, and risk, ensuring proper documentation and evidentiary standards.
  • Recommend and evaluate preventive, detective, and mitigative controls.
  • Monitor changes in policy, regulations, technology, and criminal trends to anticipate shifts in fraud risk.
  • Reporting & Communication:
  • Deliver timely, actionable reporting to leadership on trends, exposures, root causes, and mitigation opportunities.
  • Translate analytical findings into clear recommendations for non-technical stakeholders.
  • Prepare materials for audit, compliance, or law enforcement requests as needed.
  • Bachelor's degree and at least 10 years of professional experience (preferred) as an open-source intelligence analyst and other related fields.
  • Professional certification (preferred), such as CFE, CIA, CISA, or similar.
  • Proven ability to conduct open-source intelligence (OSINT) analysis to identify, track, and monitor emerging fraud typologies across financial and operational channels.
  • Experience building and maintaining fraud indicators, risk scores, and watchlists using internal data and external intelligence sources.
  • Proficiency developing analytical queries, dashboards, and automated alerts to uncover anomalous patterns (e.g., counterfeit documentation, suspicious claims activity, identity misuse, operational irregularities).
  • Ability to leverage open-source data to conduct link analysis and identify fraud networks and scheme interdependencies.
  • Ability to produce high-quality intelligence products (threat assessments, trend analyses, profiles, timelines, geo-based heat maps) with clear analytical rigor and defensible findings.
  • Track record partnering with internal stakeholders (audit, investigations, and data personnel) to share intelligence, escalate issues, and support audit/investigative efforts.
  • Demonstrated capability to deliver timely, actionable reporting to leadership, translating analytical findings into clear recommendations for non-technical stakeholders.
  • Ability to travel up to 25 percent (within the DC metro area and out of the DC metro area)