Data Analyst

Job Title: SC Cleared Data Analyst – Digital Identity Job Summary: We are looking for a data-driven and security-conscious Data Analyst to join our Digital Identity team. In this role, you will work with large volumes of identity, behavioural, and verification data to help improve identity assurance, prevent fraud, and enhance user trust. You’ll collaborate with product, risk, and engineering teams to uncover insights that drive data-informed decisions and innovations in our digital identity solutions. Key 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: Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field. 2 years of experience in a data analyst role, preferably within secure government programs Strong understanding of RBAC and ABAC principles and their application in high-security environments. Active SC/DV Clearance is essential. 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. Domain Knowledge: Basic understanding of digital identity concepts: SSO, MFA, RBAC and ABAC Knowledge of fraud detection techniques and identity risk indicators is an advantage. Soft Skills: Strong analytical thinking and attention to detail. Excellent communication skills with the ability to translate complex data into actionable insights. Comfortable working in cross-functional teams in a fast-paced, evolving environment.