Platform Specialist Data & Analytics
Key Responsibilities While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.
- 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 at Corsham. xkybehq Open, collaborative delivery model with shared artefacts, no private delivery lanes, and close alignment between technical and delivery leadership.
- 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 at Corsham. xkybehq Open, collaborative delivery model with shared artefacts, no private delivery lanes, and close alignment between technical and delivery leadership.