We are looking for an experienced 4+ year Power BI Developer with deep technical expertise to design, develop, and maintain interactive dashboards that drive insights from high-volume, event-driven data.

In this role, you will be tackling complex analytics for platforms that generate massive amounts of user-action events.

Primary Skills :

- Experience : 4+ years of hands-on Power BI development.

- Technical Depth : Demonstrated end-to-end Power BI expertise advanced DAX, robust data modelling (star schema, relationships, performance tuning), and Power Query/M with the ability to independently diagnose and resolve issues across the stack rather than only building visuals.

- Business Comprehension & Communication : Proven ability to grasp customer business challenges, translate ambiguous requirements into analytical solutions, and communicate insights clearly to both technical and non-technical stakeholders.

- High-Volume Data Experience : Proven experience reporting on large-scale telemetry, user-activity logs, or operator action events in enterprise environments.

- Database Expertise : Strong proficiency in SQL and experience with Azure SQL, SQL Server, or other relational databases.

- Optimization : Deep knowledge of report optimization, query folding, and performance tuning for large datasets.

- Security : Hands-on experience implementing Row-Level Security (RLS).

Responsibilities include :

- Event-Driven Analytics : Design, develop, and maintain interactive Power BI dashboards focused on large-scale event analytics and operator activity tracking.

- Full-Stack Ownership : Independently diagnose and resolve performance bottlenecks and data issues across the entire Power BI stack (data ingestion, M language, DAX, and visual rendering).

- Requirement Translation : Collaborate with stakeholders to grasp complex business challenges and translate ambiguous requirements into clear, scalable analytical solutions.

- Advanced Calculation : Develop and optimize complex DAX calculations, measures, KPIs, and calculated columns optimized for high-frequency data.

- Data Modeling : Build efficient, highly optimized data models using star and snowflake schemas tailored to handle heavy event-log datasets.

- ETL Management : Create and maintain robust ETL workflows using Power Query (M Language).

- Data Integration : Integrate Power BI with SQL Server, Azure, APIs, and other enterprise data sources.

- Security Implementation : Implement Row-Level Security (RLS) to securely manage data access across different user tiers and operational teams.

- Maintenance : Schedule dataset refreshes and proactively troubleshoot refresh failures in large enterprise datasets.

- Documentation : Prepare clear documentation for reports, data models, and dashboards.