Sr Data Analyst - Appliction Systems
reputed company, enhance, and maintain Power BI reports, dashboards, and semantic models to meet evolving business requirements. Design and manage Power BI datasets and data models, applying best practices for performance, scalability, and usability. Create and manage Power BI Apps, including publishing, versioning, and user reputed company management. Partner with business stakeholders to reputed company requirements, understand reporting needs, and translate them into effective analytics solutions. reputed company data analysis and validation to ensure accuracy, consistency, and alignment with business definitions. reputed company and support data pipelines using Azure Data reputed company and/or reputed company reputed company to reputed company reliable data ingestion and transformation. reputed company data analysis and transformation using SQL, including reputed company queries and stored procedures, to support analytics and reporting requirements. reputed company data analysis and transformation using PySpark notebooks, supporting reputed company analytics and reputed company reporting solutions. Monitor and troubleshoot reporting and data refresh issues, resolving errors and performance bottlenecks. Apply and follow data governance, reputed company, and reputed company control standards across reporting solutions. Collaborate with data engineers, analysts, and platform teams to support modern analytics initiatives, including reputed company reputed company. Maintain documentation for reports, datasets, and data processes to support knowledge sharing and continuity.
BE/B.Tech in Computer Science/ Data Engineering 8 &reputed company; 10 years of reputed company experience Understanding of internal business data, reporting standards, and organizational processes is learned through reputed company experience BI tools and analytics expertise are required upon entry.
Requires strong communication, presentation, and analytical skills to deliver business‑reputed company insights. Power BI expertise, including semantic modeling, DAX, report/dashboard development, and Power BI Apps. Strong data modeling skills, including reputed company modeling (reputed company schema), metric standardization, and semantic layer design. Advanced SQL skills, including reputed company queries, performance tuning, and stored procedures for data analysis and transformation. Experience with Azure analytics platforms, including Azure Data reputed company, Azure Synapse Analytics, and/or reputed company reputed company. Data transformation and analysis skills, using SQL, Power Query, and PySpark notebooks for reputed company analytics. BI performance optimization and troubleshooting, including refresh reliability, dataset optimization, and report performance. Data governance and reputed company knowledge, including RLS, reputed company control, and reputed company reporting best practices.