Vulnerability Analytics & Remediation Specialist

Work Life Group; Henegouwen; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

Wlgroup is seeking an analyst to close the gap between security assessments and repaired systems. You will interpret findings, prioritize risk, and drive remediation across OS, database, and network layers.

You’ll build data pipelines, run dashboards in Power BI or Grafana, and coordinate with site admins to ensure timely remediation and reporting. Strong SQL, scripting, and ownership are essential.

Formación

• Substantial vulnerability management experience with current assessments.
• Proven ability to validate remediation meets security requirements.
• Hands-on familiarity with scanners and outputs (Nessus/Qualys/OpenVAS).
• Working security architecture background: boundary protection, encryption, IAM, monitoring.
• Strong SQL capability for modelling large scan datasets (PostgreSQL/SQL Server).
• Advanced Power BI or Grafana skills for time-series dashboards.
• Proficient Python (Pandas/NumPy) or PowerShell for parsing outputs.
• Ownership mindset: drive tasks to completion and document the outcome.

Responsabilidades

• Read weekly results, interpret findings, write remediation plans for owners.
• Prioritize remediation by risk and advise on OS, DB, and network hardening.
• Build and run data pipelines aggregating scan outputs from multiple sources.
• Design and maintain live dashboards in Power BI or Grafana with meaningful metrics.
• Act as technical contact for site admins and owners, track remediation honestly.
• Produce weekly/monthly reports and chair coordination meetings.
• Leave documentation sufficient for platform maintenance without you.

Conocimientos

Vulnerability management

Scanner outputs

Security architecture

SQL depth

Power BI / Grafana

Python / Pandas

PowerShell

Ownership

Herramientas

Nessus

Qualys

OpenVAS

Descripción del empleo

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.