• Support lightweight internal tooling, reporting views, query updates, and structured data outputs.
  • Work with Python / Django-based Frameworks where required.
  • Write, amend, and troubleshoot SQL queries.
  • Support basic reporting outputs, data extracts, and data quality analysis.
  • Understand or work around DBT-based ETL processes underpinning the reporting layer.
  • Make lightweight UI or workflow changes where required.
  • Help automate or streamline recurring tracker refresh, reporting, and reconciliation activities.
  • Document queries, data flows, tooling changes, and repeatable reporting processes.

Additional Skills Required

  • Hands-on Python experience.
  • Experience with Django or similar Python web framework.
  • Strong SQL proficiency.
  • Ability to work with structured data from multiple sources.
  • Understanding of relational databases, data models, and ETL / ELT concepts.
  • Ability to understand or work around DBT transformations.
  • Ability to support lightweight UI changes and basic reporting outputs.
  • Experience with Git, dashboards, Metabase, Databricks, Splunk, Power BI, REST APIs, HTML / CSS / JavaScript is desirable.
  • The ideal candidate will be structured, analytical, technically aware, collaborative, and confident challenging incomplete or unsupported information.
  • They should be comfortable working across multiple initiatives, engaging with engineering and infrastructure teams, analysing data, maintaining accurate trackers, and driving progress against agreed Technology Excellence standards.



Data & Analytics Analyst

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