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9 часов назад

Data Protection Analyst (Cybersecurity)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
India/Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Protection Analyst (Cybersecurity): Analyzing data security incidents, DLP analytics, and endpoint forensic events for customers with an accent on insider-threat detection, policy refinement, and cloud security. Focus on investigating data-loss risks, eliminating false positives, refining detection datasets, and producing incident-response reports.

Location: Hybrid in Bangalore or Mexico

Company

hirify.global builds data security technology that traces the full lifecycle of data and adapts protection to changing work contexts.

What you will do

  • Provide insight into DLP analytics and related customer issues.
  • Analyze Data Detection and Response platform events to improve policies, incidents, and alerts.
  • Refine datasets and DLP policies as customer data-risk strategies and business needs evolve.
  • Conduct forensic analysis of people, groups, and non-sanctioned egress destinations.
  • Prepare and present incident summaries and reports to internal stakeholders.
  • Reduce noise and false positives to improve detection accuracy.

Requirements

  • 2–5 years of experience with data protection or adjacent security tools such as EDR, SIEM, or SOAR.
  • At least 2 years of experience in insider threat or information security.
  • Strong understanding of endpoint protection practices and incident mitigation workflows.
  • Experience with DLP, insider threat, CASB, and controls for sensitive data.
  • Comfort working across macOS, Linux, Windows, AWS, GCP, and Azure.
  • SQL, dashboard maintenance, XML-based DLP rules, scripting, and API usage.

Culture & Benefits

  • Work in a customer-centric, collaborative global environment.
  • Contribute to the development of Professional Services and Managed Services functions.
  • Work on data security for the agentic enterprise and emerging technology.
  • AI-powered recruiting tools may support scheduling, note-taking, and workflow automation; candidates are notified before AI-assisted interview note-taking and may opt out.

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