[Hiring] Power BI / Insurance Analytics Developer @EXL

Role Description

• 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.

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.

Requirements

• Strong 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.
• Strong 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.
• 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.