Insurance Analytics Developer (Power BI)

Key Responsibilities: Design, develop, and maintain interactive Power BI dashboards and reports for insurance business users. Develop efficient DAX measures, calculated columns, KPIs, and data models to support analytical and reporting requirements. Write and optimize complex SQL queries for data extraction, transformation, reconciliation, and analysis. Analyze large datasets to identify business trends, data issues, and actionable insights. Work with business stakeholders to understand requirements and translate them into reporting and analytical solutions. Perform data validation, reconciliation, and root-cause analysis to ensure reporting accuracy and consistency. Develop and maintain dimensional data models supporting reporting and analytics use cases. Collaborate with data engineering, business, and analytics teams to integrate data from multiple source systems. Apply insurance domain knowledge to interpret business data and develop meaningful KPIs and reporting solutions. Support report performance optimization, production issues, enhancements, and ongoing reporting needs.

Required Skills: Power BIStrong hands-on experience with Power BI Desktop and Power BI Service. Strong knowledge of DAX, Power Query, data modeling, relationships, drill-through, bookmarks, filters, and visualization best practices. Experience building complex dashboards and executive or business reporting solutions. Understanding of Power BI performance optimization and data model design. SQL and DataStrong SQL skills, including joins, CTEs, subqueries, window functions, aggregations, and complex transformations. Experience analyzing and reconciling data across multiple tables and data sources. Good understanding of relational databases, dimensional modeling, and data warehousing concepts. Ability to investigate data-quality issues and independently perform root-cause analysis.

Insurance Analytics: Good understanding of insurance data and business processes, preferably within Property & Casualty insurance. Familiarity with policy, coverage, exposure, premium, claims, losses, reserves, limits, deductibles, brokers or agents, and underwriting. Ability to understand insurance KPIs and translate business questions into analytical reports and dashboards. Experience working with policy, claims, underwriting, or premium-related datasets is preferred.

Preferred Qualifications: 4-6 years of overall experience in business intelligence, reporting, or data analytics. Hands-on experience with Power BI and SQL in enterprise reporting environments. Prior experience with an insurance carrier, broker, MGA, or insurance analytics organization is highly desirable. Exposure to Azure, Snowflake, Databricks, or SQL Server would be an advantage. Strong analytical thinking, problem-solving, and communication skills. Ability to interact with business stakeholders and independently convert requirements into technical solutions.

Ideal Candidate Profile: A hands-on BI professional who can understand an insurance business problem, navigate the underlying data using SQL, build the appropriate Power BI data model and DAX logic, and present the outcome as meaningful business insights rather than only dashboards.