We are looking for a proactive and technically skilled Data professional to deliver first-line support, user enablement, and operational coordination across several modern data & analytics platforms. The role focuses on ensuring smooth platform usage, efficient data handling, high-quality governance, and continuous knowledge development for internal users.

• Serve as the first point of contact for users working on advanced analytics platforms.

• Handle basic questions, guide users through standard workflows, and ensure correct platform usage.

• Create and escalate support tickets when issues require specialist or engineering intervention.

• Provide functional support related to Spark, Python, R, notebooks, and compute environments.
  
  

• Execute data transfers between analytics environments upon user request.

• Coordinate and escalate all access-related topics with the relevant IT and security teams.

• Manage permissions for shared datasets, notebooks, and analytical workspaces.

• Monitor resource consumption (compute, storage, workloads) and proactively report usage anomalies.

• Support overall capacity planning, helping to maintain stable and performant environments.
  
  

• Produce documentation such as FAQs, troubleshooting guides, and step-by-step tutorials.

• Update and improve training materials for internal users.

• Organise and deliver training sessions, onboarding workshops, and refreshers for analytics tools.

• Contribute to the continuous improvement of user enablement processes.
  
  

• Hands-on experience with at least one major data/analytics platform (e.g. notebook environments, data lakehouse systems, or compute clusters).

• Familiarity with Spark concepts (clusters, jobs, execution errors).

• Understanding of Python and/or R in a data/analytics context (no development required).

• Knowledge of data transfer mechanisms and interoperability between analytics environments.

• Ability to navigate dashboards for resource monitoring, workload status, and capacity tracking.

• Experience using ticketing tools and structured escalation workflows.
  
  

• Strong communication skills with the ability to guide and support non-expert users.

• Capability to triage technical issues and distinguish between functional and engineering topics.

• Experience producing documentation, training content, and user onboarding materials.

• High attention to compliance, permissions, and data governance.

• Flexibility to work across multiple platforms and adapt to varied analytical use cases.