Cyber Security Specialist — Scan Analysis and Reporting for NATO with security clearance

Wlgroup

Henegouwen

Sur place

EUR 70 000 - 100 000

Plein temps

14 jours+
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV personnalisé et une lettre de motivation qui correspondent directement à l’offre.

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Résumé du poste

Wlgroup seeks a security analytics professional to close the gap between scans and repaired systems. You will interpret findings, build a data pipeline, and maintain dashboards in Power BI or Grafana, driving remediation with a risk-based approach.

Responsibilities include weekly reports, coordinating blockers, and ensuring documentation enables future maintenance. Strong SQL, Python, and scripting skills are essential, with advanced BI experience valued.

Qualifications

  • Substantial vulnerability management experience, current focus and eligible for security validation.
  • Familiarity with scanners and their output formats (Nessus, Qualys, OpenVAS).
  • Grounding in security architecture: boundary protection, encryption, IAM, monitoring, IR, risk.
  • Real SQL depth for modelling and querying large scan datasets (PostgreSQL/SQL Server).
  • Advanced Power BI including data modelling and DAX, or Grafana against SQL/time-series sources.
  • Python (Pandas/NumPy) or PowerShell for parsing scan output and automating steps.
  • Ownership to drive tasks to completion with clear writing.
  • Nice to have CISSP, CISM, GIAC, PL-300 certifications.

Responsabilités

  • Read weekly assessment results, interpret findings, and write remediation plans for the technical owner.
  • Prioritize remediation by risk and advise on hardening OS, DB, and network layers.
  • Build and run the data side: structured repository and ingestion pipeline with minimal manual handling.
  • Design and maintain live dashboards in Power BI or Grafana; define meaningful metrics for ops and management.
  • Serve as the technical contact for site admins and system owners; keep remediation tracking accurate.
  • Produce weekly/monthly reports and lead coordination meetings to clear blockers.
  • Document to ensure platform maintainability after departure.

Connaissances

Vulnerability management
SQL depth
Power BI advanced
Python

Formation

CISSP
CISM
GIAC
PL-300

Outils

Nessus
Qualys
OpenVAS
PostgreSQL/SQL Server

Description du poste

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.

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