
Data Analyst
8 hours ago
**Job Summary**:
**Key Responsibilities**:
- Analyze and interpret security event data from SIEM platforms (e.g., Splunk, QRadar, ArcSight, etc.)
- Develop and maintain parsers, regex rules, and data normalization scripts
- Understand and work with SIEM data models to improve log ingestion and correlation logic
- Write Python or shell scripts to automate log processing and data enrichment tasks
- Collaborate with security engineers and incident response teams to support investigations and improve data quality
- Identify anomalies, patterns, and insights from large volumes of log data
**Required Skills**:
- Understanding of REST API and SYSLOGS
- Strong experience working with cybersecurity log data and SIEM tools
- Proficiency in scripting languages (Python preferred)
- Good knowledge of regex and log parsing techniques
- Familiarity with cybersecurity concepts, threat intelligence, and event types
- Experience working with SIEM data models and structured/unstructured data
- Ability to handle multiple data sources and correlate events for actionable insights
**Preferred Qualifications**:
- Experience with platforms like Splunk, QRadar, or similar
- Exposure to log sources such as firewalls, endpoint security tools, IDS/IPS, etc.
- Basic knowledge of MITRE ATT&CK or threat detection frameworks
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