Data Analyst

Are you a detail-oriented Data Analyst with a passion for transforming complex financial data into meaningful business insights? We are seeking an experienced Data Analyst to join a leading financial analytics organisation and play a key role in driving data-informed decision-making across the business.

This is an exciting opportunity for a data professional with a strong finance background who enjoys working with large datasets, identifying trends and anomalies, and delivering impactful reporting solutions.

• 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.

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

• Ideally 1 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.
• Strong analytical and critical thinking abilities.
• Excellent attention to detail and accuracy.
• Ability to interpret complex data and translate findings into business insights.
• Strong verbal and written communication skills.