WLG
Security Analyst — Vulnerability Data and Dashboards for NATO with security clearance
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Mons, Belgium
Work mode:
Onsite
Published on:
9 September 2026
What they need
Most organisations can scan. Far fewer can say what the scans mean, who owns each finding and whether anything was fixed. A multinational defence organisation is looking for the analyst who closes that gap — half security assessment, half data engineering, and the coordination that turns a report into a repaired system.
What You Would Be Doing
- Reading the weekly assessment results, interpreting the technical findings, and writing the remediation plan that goes to the right technical owner.
- Judging technical impact so that remediation is prioritised on risk rather than on volume, and advising on hardening at operating system, database and network level.
- Building and running the data side: a structured repository that aggregates raw scan output from several sources, and the pipeline that ingests it without manual handling.
- Designing and maintaining live dashboards in Power BI or Grafana, and the metrics that make operational and management reporting meaningful.
- Acting as the technical contact for site administrators and system owners, and keeping the remediation tracking honest and current.
- Producing the weekly and monthly reporting, and chairing the coordination meetings where roadblocks get cleared.
- Leaving behind documentation good enough that the platform can be maintained without you.
What you would bring
- Substantial vulnerability management experience, current rather than historical, plus a track record of validating that delivered work meets its security requirements.
- Practical familiarity with scanners and their output formats — Nessus, Qualys, OpenVAS.
- A working grounding in security architecture: boundary protection, encryption, identity and access, monitoring and detection, incident response and risk.
- Real SQL depth for modelling and querying large scan datasets, in PostgreSQL or SQL Server.
- Advanced Power BI, including data modelling and DAX, or the Grafana equivalent against SQL and time-series sources.
- Python with Pandas or NumPy, or PowerShell, for parsing scan output and removing manual steps.
- Ownership: the motivation to carry a task to its end, alone or in a team, and the writing to show for it.
- Nice to have: certifications such as CISSP, CISM or a GIAC, and a data or business intelligence certification such as PL-300.
Extensions are offered where the work goes well. Applications are reviewed as they arrive.
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