Data Analyst – Banking Domain

Job Title: Data Analyst – Banking Domain Location: Glasgow, UK Work Mode : Hybrid (3 Days from Office) Contract Role: 6 months Industry: Banking / Financial Services Job Overview We are seeking a highly analytical Data Analyst with Banking domain experience to support data-driven decision-making across key financial operations. The ideal candidate will have strong expertise in data analysis, reporting, and banking datasets, with the ability to translate complex data into actionable insights for stakeholders. This is a hybrid contract role in the UK, requiring collaboration with cross-functional teams including Risk, Finance, and Technology. Key Responsibilities Analyse large banking datasets to identify trends, risks, and performance insights. Develop and maintain dashboards, reports, and KPIs to support business decision-making. Work closely with stakeholders across Risk, Compliance, Finance, and Operations teams. Extract, transform, and analyse data using SQL and data visualization tools. Support regulatory reporting, financial reporting, and data quality initiatives. Perform data validation, reconciliation, and root cause analysis on discrepancies. Document business requirements and translate them into data models and analytical outputs. Ensure compliance with data governance and banking regulatory standards. Required Skills & Experience 6+ years of experience as a Data Analyst, preferably in Banking or Financial Services. Strong proficiency in SQL for data querying and transformation. Experience with data visualization tools such as Power BI, Tableau, or Qlik. Knowledge of banking data structures (transactions, loans, risk, regulatory reporting). Experience working with large datasets and data warehouses. Strong analytical and problem-solving skills. Ability to communicate insights clearly to both technical and non-technical stakeholders. Preferred Qualifications Experience with Python or R for data analysis. Exposure to risk analytics, AML, fraud analytics, or regulatory reporting. Experience working in Agile / Scrum environments. Prior experience with UK banking regulatory frameworks. Education Bachelor’s or Master’s degree in Data Analytics, Statistics, Computer Science, Finance, or related field.