Sr PBI Developer 1

Jobvite, Inc.; India; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Jobvite, Inc. is seeking a seasoned Data Analytics professional in India to design Star Schema data models optimized for VertiPaq, develop advanced DAX calculations for insurance KPIs, and build executive dashboards with Power BI and Sigma workflows.

The role emphasizes data governance, performance tuning, and user-focused UX. You will collaborate on SQL-based preprocessing, ensure query folding, and manage semantic layers and write-back analytics within Sigma to empower claims and underwriting

Qualifications

• 6+ years in Data Analytics focused on Power BI & Sigma Computing.
• Insurance data experience (Life, P&C, or Health) is a plus.
• Expert SQL (T-SQL/PL-SQL) including window functions and performance tuning.
• Sigma Computing: design, datasets, and cloud data warehouse models.

Responsibilities

• Design and implement Star Schema data models optimized for the VertiPaq engine.
• Write advanced DAX for KPIs like Loss Ratios, IBNR, and Persistency.
• Develop and optimize SQL Stored Procedures and Views for preprocessing before Power BI.
• Maximize Query Folding in Power Query (M) to reduce refresh times.
• Build executive dashboards following IBCS or equivalent best practices; utilize bookmarks, field parameters, and drill-throughs.
• Design and maintain Sigma Data Datasets and workflows, including write-back functionality.

Skills

Data Modeling

DAX

SQL

Power BI

Sigma Computing

Data Analytics

Insurance domain

Tools

DAX Studio

Tabular Editor

ALM Toolkit

Job description

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).

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.