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Graph Network Analyst Jobs (NOW HIRING)

Unchain Data

$84K - $101K/yr

Model and deploy relational, document, and graph databases for supporting investigative workflows and large-scale network analysis. * Build resilient ETL/ELT pipelines that ingest, normalize, and ...

Twenty

Senior Forward Deployed Analyst

Augusta, GA · On-site

$82K - $109K/yr

Execute network analysis, persona development, and threat actor attribution using both traditional methods and our AI-enhanced graph database systems * Maintain operational proficiency and ...

Twenty

Senior Forward Deployed Analyst

San Antonio, TX · On-site

$79K - $105K/yr

Execute network analysis, persona development, and threat actor attribution using both traditional methods and our AI-enhanced graph database systems * Maintain operational proficiency and ...

Delinea

Senior Software Engineer - Identity Graph

$130K - $160K/yr

We're building a new, large-scale distributed graph data platform that maps how identities ... network analysis, or relationship analysis. • Experience with database performance tuning ...

Merkle Science

WI · On-site

Solid grasp of clustering, graph/network analysis, or entity resolution -- and a habit of validating results, not just producing them. * Ability to reason about precision vs. coverage trade-offs and ...

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How much do graph network analyst jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for graph network analyst in the United States is $40.43, according to ZipRecruiter salary data. Most workers in this role earn between $31.73 and $48.08 per hour, depending on experience, location, and employer.

What is a graph network analyst?

Graph Network Analysts are professionals who use mathematical and computational techniques to study, interpret, and optimize networks represented as graphs. These networks can include social networks, transportation grids, computer networks, or biological systems. Analysts use specialized software and algorithms to find patterns, detect anomalies, and provide insights that help organizations make data-driven decisions. Their work is often essential in cybersecurity, telecommunications, logistics, and data science. Graph Network Analysts typically have backgrounds in mathematics, computer science, or related fields.

How does a graph network analyst typically collaborate with data scientists and software engineers on projects?

As a Graph Network Analyst, you will often work closely with data scientists to design and implement graph-based algorithms for tasks like fraud detection or recommendation systems. Collaboration with software engineers is common when integrating graph analysis tools into production systems or optimizing database performance. Regular cross-functional meetings and clear documentation are essential, as your insights and models often inform larger business or technical decisions. This collaborative environment encourages knowledge sharing and provides opportunities to broaden your technical skill set.

What are the key skills and qualifications needed to thrive as a graph network analyst, and why are they important?

To thrive as a Graph Network Analyst, you need a solid background in mathematics, computer science, and data analysis, often supported by a relevant degree. Familiarity with graph databases (like Neo4j), data visualization tools, and programming languages such as Python or R is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills in this position. These skills and qualities are important because they enable accurate modeling, insightful analysis, and clear presentation of complex network data to drive informed business decisions.

What is the difference between Graph Network Analyst vs GIS Analyst?

AspectGraph Network AnalystGIS Analyst
Required CredentialsGIS certifications, technical skills in network analysisGIS certifications, spatial analysis skills
Work EnvironmentUrban planning, transportation, utilitiesEnvironmental, urban, resource management
Industry UsageTransportation, logistics, infrastructureEnvironmental agencies, urban planning, resource management

Graph Network Analysts focus on analyzing and optimizing network systems like transportation routes and utility networks, often requiring specialized network analysis skills. GIS Analysts work broadly with geographic data, performing spatial analysis across various industries. While both roles involve GIS tools, Graph Network Analysts specialize in network modeling, making their roles distinct yet complementary in spatial data analysis.

What are popular job titles related to Graph Network Analyst jobs?

For Graph Network Analyst jobs, the most frequently searched job titles are:

Infographic showing various Graph Network Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, and 6% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $84,100 per year, or $40.4 per hour.

Quantitative Analyst SETA

Arlington, VA • On-site

Blue Sky Innovators
IT Services • 11 - 50 employees
Learn more about Blue Sky Innovatorsexternal

$195K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 16 days ago

Job description

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The successful candidate will support DARPA program managers in the development, integration, and scaling of complex adaptive system modelling and data-intensive analytical capabilities. This role involves integrating complex, multi-source intelligence and commercial/open-source data streams into graph-based, network analytical frameworks to support strategic competition analysis, industrial base resilience, and national security decision-making.

Requirements:

  • Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field.
  • 5+ years of relevant experience in quantitative economic modeling, advanced econometrics, and network data science/data engineering applied to complex adaptive systems.
  • Demonstrated experience in large-scale data processing, multi-source data pipeline integration, and managing structured/unstructured data architectures.
  • Practical experience with graph analytics, network modeling tools, and interconnected data architectures (e.g., Python/R quantitative libraries, graph databases, or network science frameworks).
  • Strong background working within or alongside the U.S. Intelligence Community (IC), including familiarity with IC mission environments, data workflows, and intelligence-derived datasets.
  • Understanding of diverse data sources across global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources.
  • Strong communication skills-both written (including executive PowerPoint briefs) and oral-with the ability to translate complex econometric and data models for senior defense stakeholders.
  • Top Secret clearance with SCI eligibility.

Preferred:

  • Active Special Access Program (SAP) access and experience working at TS/SCI and SAP levels.
  • Experience with defense industrial base analysis, economic statecraft, strategic competition modeling, or macroeconomic resilience metrics.
  • Hands-on experience building decision-support tools, AI/ML-enabled analytical tools, cloud data engineering workflows, or large language model (LLM) research pipelines.
  • Prior background supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations.
  • Experience in high paced private sector quantitative production environments such as systematic investing or trading, real time ad technology development or pharmacological optimization and customization.
  • Demonstrated ability to bridge communication and technical execution across academic economists, data engineers, software developers, and operational intelligence analysts.

Responsibilities:

  • Oversee the design, evaluation, and application of quantitative economic models, network analysis frameworks, and graph-based data integration architectures.
  • Oversee the integration of complex, multi-source intelligence and economic datasets into scalable, operational analytical pipelines.
  • Serve as primary technical liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements.
  • Advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy.
  • Prepare technical documentation, program roadmaps, and executive briefs to communicate program progress and analytical findings to senior decision-makers.

The salary range for this position is $195,000-$300,000, per year. Specific compensation will be determined by several factors including experience, education, skills, and knowledge. We also offer medical/dental/vision benefits and 401k contribution.

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