Senior Cyber Data Analyst

Location: Tel Aviv, Israel

Department: Cyber Research

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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