Platform Specialist Data & Analytics

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, visualisation, 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 visualisation 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 Essential Experience - Active SC clearance.

- Strong hands-on experience with cloud-based data and analytics platforms.

- Background in data engineering, analytics platforms, or data science enablement.

- Proven experience contributing directly to build and implementation.

- Experience taking initiatives from POC to MVP or production.

- Understanding of security, governance, reuse, and scalability considerations.

- Ability to simplify complexity and communicate technical trade-offs clearly.

Desirable Experience - Experience working in secure or regulated environments.

- Exposure to analytics or data platforms involving identity, access management, or security-related datasets.

- Experience enabling multiple teams or user groups on a shared platform.

- Track record of demonstrating business value early. Ways of Working Hybrid working with regular on-site collaboration n, collaborative delivery model with shared artefacts, no private delivery lanes, and close alignment between technical and delivery leadership.