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. .