About the Role: Data Analyst (Hybrid 2-3 days) - We are seeking a talented Data Analyst to join a leading financial services organisation based in Manchester. In this role, you will work closely with key stakeholders to deliver actionable insights, support data-driven decision-making, and play a critical part in optimizing business performance within a fast-paced, data-rich environment.

Skills & Experience Essential: Proven experience as a Data Analyst, preferably within the finance industry. Advanced proficiency in data analysis tools such as SQL, Excel, and Power BI (or similar visualization tools). Strong understanding of financial datasets, metrics, and reporting requirements. Experience in creating dashboards and automated reporting solutions. Excellent problem-solving skills with a strong attention to detail. Ability to translate complex data into actionable insights for both technical and non-technical audiences. Knowledge of data cleansing, validation, and preparation processes. Exceptional communication and interpersonal skills, with experience presenting to stakeholders. Desirable: Familiarity with Python or R for data analysis. Experience working with financial risk, compliance, or performance datasets. Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud. Professional certifications such as Microsoft Power BI Data Analyst or relevant financial qualifications.