2 месяца назад
Data Analyst (Cybersecurity)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (Cybersecurity): Transforming complex enterprise endpoint data into unified models, customer insights, and AI-powered product capabilities with an accent on data source research, schema design, and cross-functional delivery. Focus on validating integrations, modifying production system logic, supporting customer onboarding, and building scalable foundations for a cybersecurity data function.
Location: Tel Aviv, Israel; on-site
Company
develops an agentic-first cybersecurity platform that helps enterprises protect endpoints, applications, and AI tools through visibility, context, and autonomous remediation.
What you will do
- Research and evaluate customer data sources, APIs, and integrations, including data availability, reliability, and business value.
- Analyze large, complex datasets to identify patterns, anomalies, and actionable insights for product and customer outcomes.
- Design and evolve unified data models, schemas, and structures across multiple integrations and systems.
- Build and modify logic in production system components while partnering with Engineering and Data Science.
- Support customer onboarding by validating incoming data, identifying issues, and delivering customer-facing analyses, reports, and recommendations.
- Collaborate with Product on data-informed decisions and help define data, signals, and requirements for AI-powered capabilities and autonomous workflows.
Requirements
- 3+ years of experience as a Data Analyst, Cyber Analyst, Network Analyst, Analytics Engineer, Solutions Analyst, or in a similar data-focused role.
- Strong SQL skills and working knowledge of Python.
- Experience with large, complex datasets from multiple sources, data modeling, and schema design.
- Ability to own projects from discovery through delivery and balance long-term improvements with short-term priorities.
- Ability to collaborate across Engineering, Product, Data Science, and customer-facing teams and communicate findings to technical and non-technical audiences.
- Customer-first mindset, strong analytical thinking, ownership, accountability, and comfort working in ambiguous, fast-moving environments.
Nice to have
- Experience building or improving data platforms, analytics infrastructure, or data operations processes.
- Experience with APIs, integration platforms, or SaaS data sources.
- Previous experience leading projects or mentoring others.
- Familiarity with AI/LLM products and applying AI to data analysis and customer workflows.
- Experience in cybersecurity, enterprise SaaS, or highly technical products.
Culture & Benefits
- Inclusive workplace focused on respect, empowerment, and diverse perspectives.
- Fast-moving environment centered on ownership, open collaboration, and meaningful impact.
- Equal opportunity employment commitment and a workplace free from discrimination and harassment.
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