Data Analyst

Data Collection & Management:

• Collect, cleanse, validate, and organise data from multiple sources, ensuring accuracy and integrity.
• Maintain and enhance databases, data warehouses, and data systems.
• Ensure data governance and quality standards are consistently met.

• Analyse large and complex financial datasets to identify trends, patterns, anomalies, and opportunities.
• Perform detailed financial and operational data analysis to support strategic business decisions.
• Develop actionable insights and recommendations based on data findings.

• Design, develop, and maintain dashboards, reports, and visualisations for business stakeholders.
• Present findings in a clear and meaningful manner to both technical and non-technical audiences.
• Support ongoing reporting requirements and business performance monitoring.

• Partner closely with finance and business teams to understand reporting and analytical requirements.
• Work alongside technology teams to implement data-driven solutions and improvements.
• Contribute to cross-functional projects and initiatives.

• Identify opportunities to improve reporting processes, data quality, and operational efficiency.
• Stay informed about emerging technologies, tools, and best practices in analytics and business intelligence.

Education:

• Bachelor's Degree in Data Science, Computer Science, Information Systems, or a related field.
• Relevant certifications in Data Analytics, Business Intelligence will be advantageous.

• Minimum 3-5 years of experience in a Data Analyst role within the financial services, banking, investment, insurance, or related finance sectors.
• Proven experience working with large datasets and financial reporting environments.

• Strong SQL skills for querying, analysing, and managing data.
• Proficiency in Python and/or R for data analysis and automation.
• Advanced Microsoft Excel skills.
• Experience with Power BI, Tableau, or similar data visualisation platforms.
• Strong experience with Microsoft Fabric including data engineering, data integration, reporting, and analytics capabilities.
• Familiarity with financial databases, data warehouses, and cloud-based data platforms.

Apply today!