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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
18,000-25,000 ₪
we are looking for a Senior Cyber Data Analyst.
As a Senior Cyber Data Analyst for the Asset Intelligence Research team, you will conduct research to enhance the 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.
As a Senior Cyber Data Analyst for the Asset Intelligence Research team, you will conduct research to enhance the 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.
Requirements:
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.
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.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
אונליין
אונליין
7 חודשים
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