About the Role

We are seeking a highly analytical and detail-oriented Security Data Analyst to join our Information Security team. The successful candidate will be pivotal in safeguarding our digital assets by analyzing security data, identifying threats, and providing actionable insights to strengthen our security posture. This role combines expertise in data analysis with a deep understanding of cybersecurity principles.

Key Responsibilities

Data Loss Prevention (DLP) Management:

Manage Data Leakage Prevention tool and processes end-to-end.

Designing, implementing, and supporting new DLP rules.

Focus on reducing false positives from DLP tools to improve accuracy.

Monitor the DLP dismissal process and handle custom requests.

Conduct thorough DLP testing and validation.

Security Control & Risk Management:

Design, implement, and support robust data security controls.

Manage data security projects from inception to deployment.

Performing security assessments (data security perspective) on systems and applications.

Analyze requests and approving data transfer or critical access based on security policies.

Create detailed security hardenings guides and provide system configuration requirements.

Data Analysis & Reporting:

Investigate security alerts, logs, and data from SIEM and DLP systems.

Perform in-depth analysis of large security datasets.

Develop and maintain key security metrics, perform audits and report for management.

Security Incident Analysis & Response:

Conducting analysis for data security incidents and providing support for L3 SOC activities.

Responding to urgent incidents outside working hours as part of an on-call rotation.

Contribute to incident response by providing rapid data analysis and forensics support.

Required Qualifications & Skills

Technical Proficiency:

3+ years of experience in a cybersecurity role, specifically in data analysis, SOC/incident response.

Hands-on experience with DLP technologies (e.g. Symantec).

Strong knowledge of SIEM/Logging platforms (e.g. Elastic) and log aggregation principles.

Proficiency in scripting languages (e.g., Python, PowerShell) for data manipulation and automation.

Familiarity with network protocols, operating systems (Windows, Linux), and cloud environments (AWS, Azure).

Knowledge of privacy and data protection regulations.

Analytical Skills:

Proven ability to collect, analyze, and interpret complex technical data to solve security problems.

Excellent problem-solving skills and attention to detail.

English: upper-intermediate or higher.

Ukrainian/Russian: native or advanced

Education: Bachelor’s degree in Computer Science, Information Security, or a related field, or equivalent practical experience.