Data Analyst - Cybersecurity (SIEM)

Job

Summary :

We are seeking a skilled

Data Analyst with hands-on experience in cybersecurity log

analysis, SIEM data models, and scripting. The ideal candidate will

work closely with security teams to parse, analyze, and enrich log

data from various sources, helping improve threat detection and

monitoring effectiveness.

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