Security Analyst (6239)

Responsibilities

• Analyze large, complex datasets across cloud and enterprise environments to identify security risks, anomalies, and trends.
• Conduct SIEM investigations using Splunk or similar platforms, perform detection tuning, and develop dashboards for security monitoring and reporting.
• Develop and maintain automation scripts, data pipelines, API integrations, and workflow automation using Python, SQL, or similar technologies.
• Monitor and analyze cloud security telemetry, including IAM activity, cloud logging, and endpoint telemetry across AWS and other cloud environments.
• Apply security frameworks such as NIST Cybersecurity Framework (CSF) and NIST AI Risk Management Framework (AI RMF) to support governance, audit logging, security metrics, and risk reporting.
• Collaborate with cross-functional security teams to support investigations, strengthen data protection policies, and enhance overall security operations.
• Produce meaningful security metrics and risk indicators that support informed decision-making and continuous improvement.
• Attend regular internal practice community meetings.
• Collaborate with your itD practice team on industry thought leadership.
• Complete client case studies and learning material (blogs, media material).
• Build out material to contribute to the Digital Transformation practice.
• Attend internal itD networking events (in person and virtual).
• Work with leadership on career fast-track opportunities.

Required Qualifications And Skills

• Minimum 5 years of hands-on experience in security and data analysis focused on identifying risks or anomalies within large datasets.
• Experience performing SIEM investigations, preferably using Splunk.
• Hands-on experience with dashboard development, detection tuning, telemetry analysis, and security risk reporting.
• Practical experience with at least one major cloud platform, preferably AWS, including IAM, cloud logging, and endpoint telemetry.
• Proficiency in Python and SQL (or similar languages) for data analysis, automation, pipeline development, log normalization, API integrations, and workflow automation.
• Practical experience applying NIST CSF and NIST AI RMF, including audit logging, security metrics, and risk indicators.

Preferred Qualifications And Skills

• CISSP, CCSP, Data Forensics Investigation, or relevant AI security certifications.
• Experience independently developing and enhancing automation scripts and data pipelines.
• Experience with additional cloud platforms such as GCP.
• Experience supporting data protection, data investigations, or enterprise security initiatives.

Benefits

We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more.