Sr PBI Developer 1

Description

Key Responsibilities

• 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).
• 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.
• 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
• 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.
• 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.