Cybersecurity Specialist (m/f/d)" - Cybersecurity Reporting, Data Analytics & Data Architecture

Job description

We are seeking an experienced Cybersecurity Specialist to drive cybersecurity reporting, analytics, and data management capabilities in Cybersecurity. The role is responsible for designing and maintaining reporting solutions, building scalable data architectures, automating data collection and analysis processes, and delivering actionable insights to management and executive stakeholders.

Key Responsibilities

Design, develop, and maintain enterprise-grade cybersecurity reporting and analytics solutions. Build and optimize data models, data pipelines, and reporting architectures to support cybersecurity operations and strategic decision-making. Develop interactive dashboards and visualizations using Power BI and related technologies. Design and implement automated data collection, transformation, and validation processes using Python, SQL, APIs, and scripting technologies.

Integrate data from multiple cybersecurity platforms, tools, and data sources into a centralized reporting environment. Define and maintain cybersecurity KPIs, metrics, scorecards, and executive dashboards. Perform advanced data analysis to identify trends, risks, compliance gaps, and opportunities for improvement. Collaborate with cybersecurity teams, IT, business stakeholders, and management to translate reporting requirements into scalable technical solutions.

Contribute to the development of data governance, data quality, and reporting standards within cybersecurity. Support strategic initiatives through data-driven insights and predictive analytics where applicable.

Technical Skills & Experience

Academic degree in Cybersecurity, Information Security, Computer Science, Data Science, Data Analytics, Information Systems, or a comparable qualification. Several years of professional experience in cybersecurity reporting, data analytics, business intelligence, data engineering, or related technical disciplines. Expert-level SQL skills, including complex query development, performance optimization, data modeling, and database design.

Strong hands-on experience with Python for data analysis, automation, scripting, ETL processes, and data engineering. Advanced proficiency in Power BI, including semantic modeling, DAX, Power Query, dashboard development, and data visualization. Experience designing and maintaining scalable data architectures and reporting platforms. Strong knowledge of APIs, database technologies, cloud-based data services, and data integration frameworks.

Experience developing cybersecurity KPIs, management reporting, executive dashboards, and board-level presentations. Strong understanding of cybersecurity concepts, risk management, and security frameworks such as ISO 27001, NIST, CIS Controls, or NIS2. Experience with automation, reporting optimization, and large-scale data processing. Knowledge of Microsoft Azure data services, Microsoft Fabric, or comparable modern data platforms is an advantage.

Certifications (Preferred but Not Required) Microsoft Certified

Power BI Data Analyst Associate (PL-300) Microsoft Azure Data Fundamentales (DP-900) Microsoft Azure Data Engineer Associate (DP-203) Microsoft Fabric Analytics Engineer Associate (DP-600) Security+ CISSP, CISM, or comparable cybersecurity certification Soft Skills Strong analytical and problem-solving capabilities. Ability to translate complex technical data into meaningful business insights. Excellent communication and stakeholder management skills.

Strong attention to detail and commitment to data quality. Ownership mindset with a strong continuous improvement orientation. Ability to work independently while effectively collaborating across global teams. Structured, proactive, and results-driven working style. Applications from severely handicapped people are welcome.