Intermediate Data Analyst
Executive Placements · Kensington
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Start free — we apply for you →Key Duties & Responsibilities: 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. Data Analysis
• 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. Reporting & Visualisation
• 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. Collaboration
• 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. Continuous Improvement
• 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. Required Qualifications & Experience: Education
• 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. Experience
• Minimum 36 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. Required Technical Skills
- 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.
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