Frontier AI Data Analyst
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Location:
Hybrid – Offices in Amsterdam, Brussels, London and Paris. Candidates can be based in any of these locations. Contract: 12 months + ext Start Date: ASAP Role Overview We are looking for a Frontier AI Data Analyst to support a large cybersecurity programme within financial services. The role focuses on building reliable data models, integrating security data from different systems, improving data quality and developing dashboards to measure cyber risk, vulnerabilities and remediation progress. You will work closely with security, technology, risk and operations teams to turn complex data into clear reporting and actionable insights.
Key Responsibilities
- Design and maintain data models covering assets, applications, vulnerabilities, security controls and remediation.
- Integrate data from multiple security tools, databases, APIs, cloud platforms and operational systems.
- Define data-quality controls, data lineage, reconciliation rules and governance standards.
- Develop KPIs, KRIs and dashboards to track cyber risk, vulnerability exposure and remediation progress.
- Build and automate reporting using SQL, Python, Power BI and other analytical tools.
- Support vulnerability management and cyber-risk prioritisation through data analysis and reporting.
- Work with technical and business teams to ensure data is accurate, consistent and reliable. Requirements
- 5+ years of experience in Data Analysis, Security Analytics, Business Intelligence or Data Management.
- Strong experience in data modelling, data integration, data quality, lineage and reconciliation .
- Strong SQL skills and experience with Python or similar data automation tools.
- Experience integrating data from APIs, databases, ETL/ELT pipelines and multiple enterprise systems.
- Experience defining KPIs, KRIs and building dashboards for cyber risk, technology operations or regulated environments.
- Good understanding of data governance, information architecture and reporting.
- Experience working with complex enterprise systems and multiple stakeholders. Nice to Have
- Cybersecurity or vulnerability management experience (UVM, CTEM).
- Experience with security data from SIEM, CMDB, SAST, DAST, cloud, identity, ITSM or GRC platforms.
- Power BI semantic modelling and dashboard development.
- Experience in financial services or another regulated industry.
- Understanding of cyber-risk scoring, remediation workflows and regulatory reporting.
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