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About the role
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. (ref:hirist.tech) .
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