Geforderte Skills
- Data Analysis
- Business Intelligence Development
- Static Program Analysis
- Data Architecture
- Data Governance
- Data Integration
- Data Transformation
- Data Profiling
- Database Analysis
- HR Analytics
- Intelligence Analysis
- Data Intelligence
- Microsoft Business Intelligence
- Reference Data
- Smart Data
- Security Analysis
- SQL Databases
- Business Intelligence Development Studio
- Data Assimilation
- SQL Server Business Intelligence
- Cyber Threat Analysis
- Data Strategy
- Semi-structured Data
- CompTIA Security Analytics Professional (CSAP)
- Data Analytics
- AWS Data Analytics
- Azure Data Analytics
- Artificial Intelligence Markup Language (AIML)
Jobbeschreibung
Project overview
Cyber Security Data Analyst - Frontier AI Programme
Project details
London (Hybrid - 8 days onsite per month)
Contract: Contract
IR35: Inside IR35 (UK-based candidates)
The Role
We are seeking an experienced Cyber Security Data Analyst to support a major Frontier AI Response Plan within a CISO Offensive Security Tribe.
This is a specialist Data Analyst position sitting at the intersection of Data Analytics, Cyber Security and Technology Risk.
The successful candidate will act as the reference data analyst across the programme, establishing trusted data foundations, models, reporting and analytical capabilities to help measure cyber exposure, prioritise remediation activity and evidence risk reduction.
You will work across vulnerability management, offensive security, system hardening, detection and response, recovery and governance, bringing together fragmented data from multiple security and technology platforms to produce reliable, actionable insight.
Key Responsibilities
Essential Skills & Experience
Desirable Experience
Location & Contract Details
How to Apply
If you have strong Data Analytics experience combined with exposure to Cyber Security or Technology Risk, please apply with your latest CV and details of your availability.
*Rates depend on experience and client requirements
- Design and maintain enterprise data models covering assets, applications, vulnerabilities, exposures, controls and remediation.
- Integrate and analyse data from CMDB, vulnerability scanners, cloud, identity, SIEM, ITSM, GRC and security platforms.
- Establish data quality, lineage, reconciliation and governance controls.
- Develop and maintain programme KPIs and KRIs, including vulnerability exposure, remediation performance and risk reduction.
- Build operational, management and executive dashboards using Power BI.
- Support vulnerability management and Continuous Threat Exposure Management (CTEM) analytics.
- Develop data flows, transformation logic and automated reporting processes.
- Translate complex security data into clear insights and recommendations for senior stakeholders.
- Minimum 5 years' experience in Data Analysis, Data Management, Business Intelligence or Security Analytics.
- Strong SQL skills and practical experience using Python or equivalent analytical tools.
- Strong Power BI experience, including semantic modelling and dashboard development.
- Experience with enterprise data modelling, data integration and data transformation.
- Understanding of data governance, data quality, lineage and reconciliation.
- Experience developing KPIs, KRIs, management reporting and analytical frameworks.
- Experience working with multiple enterprise systems, APIs, databases and structured/semi-structured data.
- Excellent stakeholder management and communication skills.
- Cyber Security, Technology Risk or Vulnerability Management environments.
- Unified Vulnerability Management (UVM).
- Continuous Threat Exposure Management (CTEM).
- Security tools and platforms including SIEM, CMDB, SAST, DAST, SCA and threat intelligence.
- Experience with cloud security, asset management and remediation workflows.
- Knowledge of cyber risk, attack paths and regulatory evidence.
- London-based role.
- Hybrid working, with 8 days onsite per month in London.
- UK-based candidates will be engaged Inside IR35.
- Professional English required.
- Start: 01/12/2026
- Duration: 12 months
- Remote: hybrid
- Location: London, United Kingdom, GB
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