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 permanentClearance: Active SC clearance (mandatory)Location: Hybrid 2 days per week on site, remainder remote
Important Notes:
- Active SC clearance is mandatory, as the selected candidate will be required to start immediately.
Required Skills:
Someone who can deliver, cut through complexity, communicate clearly, and operate confidently in a complex stakeholder environment.
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 xwzovoh 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
…
