Senior Data Analyst – Insurance Analytics & BI

• Develop and maintain enterprise reporting solutions and business intelligence dashboards for insurance operations.  • Analyze insurance data across policy, claims, underwriting, customer, finance, actuarial, and regulatory domains.  • Design and deliver interactive dashboards, reports, and analytics solutions using Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau.  • Work with business stakeholders to understand requirements and translate them into data-driven insights.  • Develop KPI dashboards covering premium growth, loss ratio, claims performance, underwriting profitability, customer analytics, and operational metrics.  • Build and optimize data models, reporting layers, and self-service analytics capabilities.  • Work with Microsoft Fabric components including Lakehouse, Data Warehouse, One Lake, Dataflows Gen2, Semantic Models, Notebooks, and Pipelines.  • Support data integration, data warehousing, ETL/ELT processes, data quality, reconciliation, and governance initiatives.  • Collaborate with underwriting, claims, actuarial, finance, risk, compliance, and technology teams.  • Minimum 3 years of experience in Data Analytics, Business Intelligence, or Reporting.  • Hands-on experience in to BFSI domain   • Strong experience with Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau.  •  Strong SQL development skills with experience in query optimization.  • Good understanding of Data Warehousing, Data Modeling, ETL/ELT, and Data Governance concepts.  • Experience with Azure Data Services and cloud analytics platforms.  • Knowledge of KPIs such as GWP, NWP, Loss Ratio, Combined Ratio, Claims Leakage, Claims Turnaround Time, and Customer Retention Metrics.  • Experience with Python, Spark, Databricks, or Machine Learning will be an added advantage.  • Relevant certifications in Power BI, Microsoft Fabric, Azure Data Engineering, Tableau, Qlik, or Insurance domain are preferred.  .