Role: Platform Specialist Data & Analytics

Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.
Duration: Initial 6 months, with potential to convert to permanent
Clearance: Active SC clearance (mandatory)
Location: Hybrid 2 days per week on site, remainder remote

• Active SC clearance is mandatory, as the selected candidate will be required to start immediately.

Someone who can deliver, cut through complexity, communicate clearly, and operate confidently in a complex stakeholder environment.

• 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.

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

• Active SC clearance
• Strong hands-on experience with cloud-based data and analytics platforms
• Background xbpsjku 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

• 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