

CACTUS IT SOLUTIONS
Platform Specialist – Data & Analytics (SC Cleared)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Platform Specialist – Data & Analytics (SC Cleared) with a contract length of "unknown" and a pay rate of "unknown." It requires strong hands-on experience with cloud-based data platforms, data engineering, and analytics, along with active SC clearance.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Yes
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📍 - Location detailed
Corsham, England, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #Leadership #Datasets #BI (Business Intelligence) #Tableau #R #Microsoft Power BI #Data Engineering #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Python #Data Science #Security #Scala #Cloud #Data Ingestion #Visualization
Role description
• 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, visualization, 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 visualization 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.
• 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, visualization, 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 visualization 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.






