Frontier AI Data Analyst

Job spec

• Within the CISO Offensive Security Tribe, the Frontier AI Data Analyst is the reference data analyst across the full Frontier AI Response Plan. The role establishes the trusted data foundations, models, flows, controls, metrics and analytical products required to measure exposure, prioritise action, evidence risk reduction and operate the programme sustainably.
• Working across vulnerability management, offensive security, system hardening, detection and response, recovery, governance and strategic partnerships, the Data Analyst connects information from security tools, CMDB, application inventories, cloud, identity, software supply chain, threat intelligence, workflow, remediation and assurance sources.
• The role turns fragmented operational data into authoritative, explainable and reusable information. It supports the UVM data model, KPI and KRI framework, end-to-end data flows, dashboards, regulatory evidence and decision support, while ensuring lineage, ownership, quality, freshness and reconciliation are built into every capability.

Required Profile

Qualifications & Experience

• At least 5 years in data analysis, security analytics, data management, Business Intelligence or information architecture within complex enterprise environments.
• Demonstrated experience integrating and analysing data from multiple operational platforms, APIs, databases, event streams and structured or semi-structured files.
• Strong experience designing canonical data models, data dictionaries, lineage, reconciliation, master-data rules and data-quality controls.
• Practical experience defining KPIs, KRIs, thresholds, formulas, dashboards and management reporting for cyber risk, technology operations or regulated programmes.
• Experience with vulnerability, asset, application, cloud, identity, threat-intelligence, ITSM, GRC or software-supply-chain data is highly desirable.
• Strong SQL and data-transformation capability, with practical experience in Python, Power Query or equivalent automation and analytical tooling.
• Experience building Power BI semantic models and dashboards and supporting the transition from project reporting to governed operational analytics is preferred.

Skills & Competencies

• Data modelling, information architecture, data mapping, lineage, metadata, entity resolution, reconciliation and data-quality management.
• KPI and KRI design, statistical analysis, trend analysis, root-cause analysis, forecasting, visualisation and evidence-based decision support.
• SQL, Python or equivalent, APIs, ETL or ELT, data transformation, Power BI, Excel, version control and automated data validation.
• Working knowledge of UVM, CTEM, vulnerability management, asset management, attack paths, remediation workflows, cyber-risk concepts and regulatory evidence.
• Professional English; French or another European language is an advantage.