MDR Operations Performance Analyst
CanadaFull-TimeMiddle
SalaryBase salary range of approximately $86,000 to $143,000 USD
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Job Details
- Experience
- Minimum of 5 years of combined experience in security analysis, SOC leadership, operational reporting, or related roles.
- Required Skills
- Artificial IntelligenceData AnalysisMicrosoft Power BIGrafanaQuality AssuranceProcess improvement
Requirements
- Previous experience working in Security Operations, particularly within MSSP or MDR environments.
- Minimum of 5 years of combined experience in security analysis, SOC leadership, operational reporting, or related roles.
- Strong ability to analyze complex, disconnected data sources and transform findings into actionable insights.
- Experience developing performance metrics and dashboards using data visualization tools such as Grafana, Power BI, or similar platforms.
- Practical understanding of AI tools such as Copilot, GPT, or comparable solutions.
- Experience applying AI tools to analyze data, identify insights, and improve operational workflows.
- Excellent written and verbal communication skills.
- Strong problem-solving abilities with a proactive and detail-oriented approach.
- Ability to work effectively in a fast-paced, changing environment.
- Passion for continuous improvement, operational excellence, and cybersecurity innovation.
Responsibilities
- Collaborate with security operations teams and leaders to understand workflows and service delivery needs.
- Analyze operational data to identify trends, inefficiencies, risks, and opportunities for improvement.
- Translate customer experience insights into actionable recommendations regarding processes, training, and service quality.
- Evaluate end-to-end workflows to identify cross-functional gaps and optimize operational effectiveness.
- Track and validate the impact of improvement initiatives through measurable outcomes.
- Define, refine, and monitor performance metrics aligned with customer experience and operational objectives.
- Conduct root cause analysis to investigate performance deviations and recommend corrective actions.
- Develop and update policies, procedures, and operational documentation.
- Integrate AI tools into performance analysis workflows to improve efficiency and decision-making.
- Create reports and presentations tailored to technical and leadership audiences.
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