Platform Specialist - Data & Analytics

Role Overview We are looking for a hands-on Data & Analytics Platform Specialist to support delivery of a secure, cloud-based analytics platform within a MOD environment. This is a delivery-focused role, not a pure architecture or advisory position. The successful candidate will contribute directly to build, configuration, and implementation, while working closely with developers, data engineers, and MOD stakeholders. Note: The candidate must personally build and configure a secure, cloud-based analytics platform (not just design or advise). Experience taking platforms from POC to MVP, working with Python/SQL, dashboards, and cloud environments is essential. It's a delivery-focused role in an MOD environment, requiring clear communication with both technical and non-technical stakeholders. Key Responsibilities Act as a hands-on platform specialist on a secure cloud analytics platform Contribute directly to build, configuration, and implementation Support delivery from POC to MVP, considering scalability, security, and governance Provide technical input across: Data ingestion & transformation (SQL) Notebook-based analytics (Python/R) Dashboards & visualisation (Power BI/Tableau/Superset or similar) Contribute to analytics over identity, access, and entitlement-related data Communicate clearly with both technical and non-technical stakeholders Support teams to become self-sufficient over time Essential Skills & Experience Active SC clearance (mandatory) Strong hands-on experience with cloud-based data & analytics platforms Background in data engineering, analytics platforms, or data science enablement Proven experience delivering POC - MVP/production Understanding of security, governance, scalability, and reuse Ability to simplify complexity and communicate technical trade-offs clearly Desirable Experience Experience in secure or regulated environments (MOD, defence, government) Exposure to identity, access management, or security-related datasets Experience supporting multiple teams on a shared analytics platform