About this role

Key Responsibilities

1. 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).

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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.