Security Analytics Engineer: AI-Driven Security

Via Licensing Corporation; Wrocław; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Flex Work approach

Competitive compensation and benefits

Excellent benefits

Job summary

Dolby Poland Sp. z o.o. is seeking an Information Security Analyst to join the Information Security Engineering team in Poland. You will implement security technologies, drive projects, and develop data-driven reporting with AI and automation.

The ideal candidate is hands-on, with a focus on turning data into actionable insights and collaborating with security architecture, operations, and business stakeholders to reduce risk across the enterprise.

Qualifications

• Bachelor’s degree or equivalent practical experience in cybersecurity, CS, IT, or engineering.
• 2+ years in information security, security engineering, IT engineering, or related role.
• Basic scripting, automation, or data manipulation experience.
• Foundational cybersecurity principles, vulnerability management, risk management, and controls.
• Experience with security tools, dashboards, reports, or operational data.
• Strong analytical and problem-solving skills.

Responsibilities

• Assist with implementation, configuration, and enhancement of security technologies and tools.
• Support security engineering projects and integration with enterprise platforms and data sources.
• Participate in PoC/PoV evaluations for new security technologies.
• Support improvements across vulnerability management, CMDB, and related processes.
• Create dashboards and reports to improve visibility into security risks.

Skills

Scripting

Automation

Data analytics

Excel/BI dashboards

Python/SQL

Education

Bachelor’s degree in Cybersecurity, Computer Science, IT, Engineering, or related field

Tools

Axonius

CMDB

Jira

ServiceNow

Job description

Dolby Poland Sp. z o.o. is seeking an Information Security Analyst to join the Information Security Engineering team in Poland. You will implement security technologies, drive projects, and develop data-driven reporting with AI and automation.

The ideal candidate is hands-on, with a focus on turning data into actionable insights and collaborating with security architecture, operations, and business stakeholders to reduce risk across the enterprise.