Data Visualisation Analyst

Responsibilities:

• Design, build, and maintain sophisticated, interactive dashboards and reports, enabling data-driven decisions across the business.
• Reverse-engineer existing visualisations to extract logic, identify inefficiencies, and optimise for usability and performance.
• Collaborate with partners to understand analytical needs and translate them into impactful visual stories.

• Identify where calculations should reside -

  in the backend (e.g. Databricks) versus frontend (Power BI, Tableau) - balancing performance and maintainability.
• Support and mentor team members in advanced visualisation techniques and performance tuning.
• Work closely with data engineers to ensure clean, well-modelled data is available through

  Databricks

  or other pipelines.
• Establish and champion visualisation standard methodologies across tools, including consistency, documentation, and version control.

Required Skills and Experience:

• 2 - 4 years Expert-level experience in developing on Power BI / Tableau, including proven command of DAX, LOD expressions, custom calculations, and parameterised visuals.
• Ability to diagnose performance issues and make recommendations on calculation pushdown (backend vs frontend).
• Familiarity with large-scale data pipelines, particularly connecting to and visualising data from Databricks.
• Proven grasp of relational and dimensional data models, joins, and filters across BI layers.
• Excellent colleague engagement ability, translating business problems into analytical solutions.
• Experience mentoring others or leading training and knowledge-sharing sessions.

Nice To Have Skills and Experience:

• Familiarity with Power BI Service or Tableau Server/Online administration.
• Understanding of data governance, cataloguing, or lineage tracking tools.
• Hands-on experience working directly in Databricks, including SQL or PySpark usage.
• Experience with

  Jira

  and visualising team performance, release plans and project data.