Key Responsibilities:- Collect, cleanse, and manage large datasets from multiple sources, ensuring data accuracy and integrity
- Analyse financial and operational data to identify trends, anomalies, and improvement opportunities
- Develop and maintain dashboards, reports, and visualisations for business stakeholders
- Present insights and recommendations to both technical and non-technical audiences
- Collaborate with finance, business, and technology teams to support data-driven decision-making
- Identify and implement improvements in data processes, reporting, and overall efficiency
Job Experience and Skills Required:Education:- Bachelor’s Degree in Data Science, Statistics, Finance, Economics, Computer Science, Information Systems, or related field
Experience:- 3–5 years’ experience as a Data Analyst within financial services, banking, investment, or insurance environments
- Strong exposure to working with large datasets and financial reporting systems
Skills:- Advanced SQL for data querying and management
- Proficiency in Python and/or R
- Advanced Microsoft Excel capabilities
- Experience with Power BI, Tableau, or similar visualisation tools
- Strong experience with Microsoft Fabric (data engineering, integration, and analytics)
- Familiarity with data warehouses, financial databases, and cloud-based platforms
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