About this role
Salary: £25,000 - 32,000 per year
Requirements: We are looking for a 2:1 degree or above in a numerate or data-focused subject such as Computer Science, Data Science, Mathematics, Statistics, or EngineeringWe need strong analytical and problem-solving skillsYou should have working knowledge of SQL, including joins, filters, and aggregationsYou should understand relational databases and structured dataGood Excel skills are requiredYou must have high attention to detail and a commitment to data accuracyStrong communication skills are required, both technical and non-technicalYou should have a proactive attitude and a genuine desire to learnDesirable: experience with Power BI or similar reporting toolsDesirable: basic knowledge of Python or DAXDesirable: exposure to Azure, Microsoft Fabric, or cloud data platformsDesirable: awareness of data quality processes, validation, or testingDesirable: experience or interest in financial services or regulated environments Responsibilities: Build and maintain reports and dashboards used across the businessWrite SQL and develop Python and DAX skills for reporting and data extractionPerform data quality checks and reconciliations across key datasetsInvestigate discrepancies and ensure data accuracy and reliabilityTest and validate reports, data models, and system changesSupport KPI and management information reporting for stakeholdersDocument data definitions and reporting logicAssist with data ingestion and transformation within Microsoft FabricContribute to automation and continuous improvement initiatives Technologies: AzureCloudDAXExcelFabricSupportPower BIPythonSQLSecurity More:
We are Radiant Financial, building a modern data platform through Project Helios on Microsoft Fabric, and our Graduate Data Analyst will join our growing Technology & Data team in Gateshead / North East on a hybrid basis. This is a genuine graduate development opportunity with hands-on experience, mentoring from an experienced Senior Data Engineer, and a clear pathway into Data Engineering or Analytics Engineering. You will gain exposure to SQL, Python, Power BI, Microsoft Fabric, and Azure, along with structured development, early responsibility, and ongoing training through the Radiant Academy. We also offer a flexible working pattern with one day in the office, an early finish every Friday, 28 days annual leave plus bank holidays and your birthday off, pension contributions, income protection, death-in-service cover, MediCash benefits, and a friendly, collaborative team culture.
last updated 29 week of 2026