Data Analyst SQL Python Tableau

SC Cleared Data Analyst Responsibilities: Analyse identity and account data across secure systems to identify and detect trends, anomalies, policy violations, and access risks. Support the design, implementation, and refinement of RBAC and ABAC models aligned with defence security standards. Develop and maintain secure, auditable dashboards and reports to monitor access provisioning, deprovisioning, and entitlements. Collaborate with IAM, cybersecurity, IT, and compliance teams to define access roles, attributes, compliance metrics and policies. Conduct periodic access reviews and support audit and compliance efforts. Automate reporting processes and improve data visualization for stakeholders. Translate complex data into actionable insights to support decision-making. Requirements: Education & Experience: ~2+ years of experience in a data analyst role, preferably within secure government programmes. ~ Strong understanding of RBAC and ABAC principles and their application in high-security environments. Technical Skills: Strong SQL skills and ability to work with large, complex datasets from multiple systems. Experience with BI and visualization tools (e.g., Power BI, Tableau, Looker). Familiarity with scripting languages like JavaScript or Python is a plus. Experience with IAM platforms such as Microfocus NetIQ, Microsoft Entra ID (Azure AD), SailPoint, ForgeRock, Okta. Familiarity with identity lifecycle management, privileged access management (PAM), and access certification processes. Understanding of event-driven data, behavioral analytics, and anomaly detection methods. Regards Chaya