Most Loved Workplace® Certified JobSenior Cyber Data Analyst
Most Loved Workplace® Certified JobAbout the Role
At Axonius, a Most Loved Workplace® certified employer in the Technology space, Transform asset intelligence into intelligent action across your technology footprint.
<p>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.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Lead end-to-end research projects focusing on asset data quality, fidelity assessment, enrichment, and correlation across device, identity, software, and SaaS asset types.</li>
<li>Utilize Python, SQL, and AI/LLM tools to build data analysis pipelines, automate asset research, and prototype enrichment and classification logic.</li>
<li>Research and define gating conditions that evaluate assets across three dimensions: Existence, classification, and risk and criticality.</li>
<li>Partner with Product and Engineering teams to transform technical research into production-ready product capabilities.</li>
</ul>
<p><strong>Minimum Qualifications</strong></p>
<ul>
<li>4+ years of professional experience in security research, cyber asset management, threat intelligence, or security data analysis.</li>
<li>Demonstrated proficiency with Python for scripting/automation and SQL for querying complex, large-scale security datasets.</li>
<li>Hands-on experience integrating AI/LLMs into technical workflows to accelerate data analysis, parsing, or research output.</li>
<li>Practical understanding of security data sources and their signal quality- includi
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