Data Modeling & DAX (The Engine) Design and implement Star Schema data models optimized for the VertiPaq engine. Write advanced, performant DAX (Time Intelligence, Row-Level Security, and complex filtering) to calculate insurance KPIs like Loss Ratios, IBNR (Incurred But Not Reported), and Persistency . Tackle many-to-many relationship challenges common in insurance data (e.g., one policy with multiple claimants). 2. Backend & SQL Engineering Develop and optimize complex SQL Stored Procedures and Views to preprocess data before it hits Power BI. Ensure Query Folding is maximized in Power Query (M) to reduce refresh times. Perform data profiling and validation to ensure the "Source of Truth" matches the dashboard. 3. Visualization & UX Design Build intuitive, executive-ready dashboards that follow IBCS (International Business Communication Standards) or similar best practices. Utilize advanced features like Bookmarks, Field Parameters, and Drill-throughs to provide a seamless user experience for claims adjusters and underwriters 4. Sigma Computing Semantic Layer & Data Datasets: Design, construct, and maintain scalable Sigma Data Datasets , custom SQL views, and logical models directly on cloud data warehouses. Write-back & Actionable Data Apps: Build advanced Sigma workflows using input tables, parameters, and action controls to support operational analytics and write-back functionality. Performance Tuning: Optimize Sigma calculations, materialized views, and underlying warehouse queries (pushdown SQL optimization) to handle large-scale datasets with high responsiveness. 5. Administration & Governance Manage Power BI Premium Capacity , Workspace permissions, and Row-Level Security (RLS). Set up and maintain On-Premises Data Gateways and automated refresh schedules. Lead the deployment process using ALM Tooling (Deployment Pipelines). Technical Requirements Experience: 6+ years in Data Analytics, dedicated to Power BI & Sigma Comouting Insurance Domain: Proven experience working with Insurance data (Life, P&C, or Health). Understanding of policy lifecycles is a massive plus. SQL Mastery: Expert-level SQL (T-SQL/PL-SQL) including window functions, CTEs, and performance tuning. Sigma Computing : Design, construct, and maintain scalable Sigma Data Datasets , custom SQL views, and logical models directly on cloud data warehouses. DAX Expert: Deep understanding of CALCULATE , filter context, transition context, and evaluation context. Tools: Proficiency in DAX Studio, Tabular Editor , and ALM Toolkit for model optimization.

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