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Data Analyst

Summary

Data Analyst supporting credit risk MI and reporting delivery in a retail banking environment, using SQL, Python, Tableau, and Qlik on a hybrid basis in Glasgow.

Salary: £91,000 - 100,360 per year

Requirements:
  • Data analysis experience with business intelligence tooling such as Tableau or Qlik
  • Strong SQL skills for data extraction and manipulation
  • Python experience for working with datasets used in MI and reporting
  • Background in credit risk MI implementation within a banking domain, ideally retail credit
  • Experience engaging with credit risk stakeholders to gather and clarify requirements
  • Delivery-focused approach with the ability to work to defined workstream objectives
Responsibilities:
  • Analyse existing credit risk MI, including measures, dimensions, star schemas, and data schemas
  • Document the current state of portfolio management credit risk reporting in a retail banking setting
  • Understand and contribute to the technical architecture for the future-state MI solution
  • Identify and source golden source data from appropriate data warehouses
  • Use SQL and Python for data extraction and preparation for MI and reporting
  • Collaborate with UK-based workstream and BI leads
  • Engage credit risk stakeholders to refine and finalise LGD and EAD attributes and requirements
Technologies:
  • Business Intelligence
  • Support
  • Python
  • Qlik
  • SQL
  • Tableau

More:

We are a well-known Financial Services consultancy working on an ongoing project in Glasgow. This is a hybrid role with 2 days onsite and an initial duration of 3 months. We are looking for someone to join our team and support the delivery of credit risk MI and reporting within a retail banking environment, working closely with UK-based workstream and BI leads.

last updated 34 week of 2026

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