Senior Cyber Data Analyst
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What you'll do
- Lead end-to-end research projects focusing on asset data quality, fidelity assessment, enrichment, and correlation across device, identity, software, and SaaS asset types.
- Utilize Python, SQL, and AI/LLM tools to build data analysis pipelines, automate asset research, and prototype enrichment and classification logic.
- Research and define gating conditions that evaluate assets across three dimensions: Existence, classification, and risk and criticality.
- Partner with Product and Engineering teams to transform technical research into production-ready product capabilities.
What they're looking for
- 4+ years of professional experience in security research, cyber asset management, threat intelligence, or security data analysis.
- Demonstrated proficiency with Python for scripting/automation and SQL for querying complex, large-scale security datasets.
- Hands-on experience integrating AI/LLMs into technical workflows to accelerate data analysis, parsing, or research output.
- Practical understanding of security data sources and their signal quality- including EDRs, MDMs, CMDBs, network scanners, cloud providers, and SaaS management tools- and the ability to reason about the reliability of each.
Nice to have
- Prior experience in B2B SaaS or enterprise cybersecurity product environments.
- Experience in cybersecurity asset management (CSAM), IT asset management (ITAM), or cyber asset attack surface management (CAASM).
- Experience designing asset fidelity or criticality scoring logic that combines signals across multiple data sources.
- Proven track record of framing open-ended security data problems into scalable software feature requirements.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
As a Senior Cyber Data Analyst for the Axonius Asset Intelligence Research team, you will conduct research to enhance the Axonius asset intelligence platform. You will lead end-to-end research projects, collaborating directly with Product and Development teams to convert technical research into product features. You will analyze large-scale security asset data, automate workflows, and prototype logic to address how enterprise assets are discovered, classified, and trusted. This is a high-impact role where your research directly shapes how our customers manage, prioritize and secure their entire assets inventory.
Responsibilities
- Lead end-to-end research projects focusing on asset data quality, fidelity assessment, enrichment, and correlation across device, identity, software, and SaaS asset types.
- Utilize Python, SQL, and AI/LLM tools to build data analysis pipelines, automate asset research, and prototype enrichment and classification logic.
- Research and define gating conditions that evaluate assets across three dimensions: Existence, classification, and risk and criticality.
- Partner with Product and Engineering teams to transform technical research into production-ready product capabilities.
Minimum Qualifications
- 4+ years of professional experience in security research, cyber asset management, threat intelligence, or security data analysis.
- Demonstrated proficiency with Python for scripting/automation and SQL for querying complex, large-scale security datasets.
- Hands-on experience integrating AI/LLMs into technical workflows to accelerate data analysis, parsing, or research output.
- Practical understanding of security data sources and their signal quality- including EDRs, MDMs, CMDBs, network scanners, cloud providers, and SaaS management tools- and the ability to reason about the reliability of each.
Preferred Qualifications
- Prior experience in B2B SaaS or enterprise cybersecurity product environments.
- Experience in cybersecurity asset management (CSAM), IT asset management (ITAM), or cyber asset attack surface management (CAASM).
- Experience designing asset fidelity or criticality scoring logic that combines signals across multiple data sources.
- Proven track record of framing open-ended security data problems into scalable software feature requirements.
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About Axonius:
Axonius transforms cyber asset intelligence into actionability. With the Axonius Asset Cloud, customers preemptively tackle high-risk and hard-to-spot threat exposures, misconfigurations, and overspending. The integrated platform brings together data from every system in an organization’s IT infrastructure to optimize mission-critical risk, performance, and cost measures via actionable intelligence.
Covering cyber assets, software, SaaS applications, identities, vulnerabilities, infrastructure, and more, Axonius is the one place to go for Security, IT, and GRC teams to continuously drive actionability across the organization. Cited as one of the fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius supports millions of assets for leading customers across industries and around the world.
Axonius makes it a priority to invest in our people with competitive compensation and benefits, growth opportunities, community-building, and so much more. Learn more about benefits at Axonius.
At Axonius we support a diverse and inclusive workplace and believe in equal employment opportunity. We welcome people of different backgrounds, experiences, abilities and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, gender identity, national origin, sexual orientation, citizenship, marital status, disability, or Veteran status.
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