Data Analyst

Job Purpose:

To provide accurate, timely, and insightful financial analysis and reporting that supports Commercial Lines business performance and strategic decision-making. The role is responsible for consolidating and validating financial data, delivering management reports and performance dashboards, identifying key business trends and drivers through analysis, and supporting budgeting and forecasting activities. By collaborating with cross-functional teams and automating reporting processes, the position ensures data integrity, enhances operational efficiency, and enables data-driven business decisions that contribute to the achievement of financial and commercial objectives.

Key Accountabilities:

• Analyze financial data and prepare monthly management reports to drive Commercial Lines performance.
• Collect, validate, reconcile, and maintain financial data from multiple internal systems.
• Perform variance analysis to identify trends, anomalies, and business performance drivers.
• Develop and maintain dashboards, KPIs, and automated reports for finance and business stakeholders.
• Support budgeting, forecasting, and financial planning activities through data analysis.
• Ensure data accuracy, consistency, and compliance with financial reporting standards and internal controls.
• Collaborate with Finance, Actuarial, Underwriting, Claims, and Business teams to provide data-driven insights.
• Automate recurring reporting processes to improve efficiency and reduce manual effort. Document reporting processes and recommend continuous improvements.

Qualifications and Skills Required:

• Bachelor's degree in Finance, Accounting, Economics, Statistics, Mathematics, Computer Science, or a related field.
• 2–5 years of experience in data analysis, financial reporting, or business intelligence, preferably in the insurance or financial services industry.
• Strong understanding of financial statements, P&L analysis, budgeting, and forecasting.
• Proficiency in Microsoft Excel (advanced functions, PivotTables, Power Query).
• Experience with BI tools such as Power BI, Tableau, or Qlik.
• Written and verbal communication skills in English.
• Problem solving and decision making capabilities.