Data Analyst

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