Key Responsibilities- * Act as a hands-on platform specialist across a secure, cloud-based data and analytics platform.- Contribute directly to build, configuration, and implementation activity alongside developers and data engineers. * Support definition of the POC scope, success criteria, and value proposition. * Shape the technical path from POC to MVP, considering scalability, security, governance, and reuse. * Contribute to analytics and insight generation over identity, access, and entitlement-related datasets. * Provide pragmatic technical input across data ingestion, analytics, visualization, access control, and environments. * Work closely with delivery leadership to surface risks and maintain delivery momentum. * Ensure decisions, progress, and artefacts are shared and transparent. * Explain technical concepts clearly to technical and non-technical stakeholders. * Enable teams to deliver independently over time. Technical Environment & Tooling (Indicative) * The platform provides a secure, cloud-hosted analytics workbench supporting modern analytics and data science workflows, including: * Notebook-based development environments (Python / R style workflows)- SQL-based querying and data transformation * Dashboarding and visualization tools (e.g. Tableau, Power BI, Apache Superset or equivalent)- Cloud-native infrastructure (e.g. AWS-based environments) Secure multi-user collaboration with governance and auditability