Senior Dev lead

6 days ago

Thane, India Growel Softech Private Limited Full time

Job Description will be responsible for transforming raw data into meaningful insights through interactive, easy-to-understand dashboards and reports. This role focuses on building automated reporting solutions, understanding business requirements, and delivering high-quality BI applications that support data-driven decision-making. Key Responsibilities - Convert business requirements into functional and technical specifications for reporting solutions. - Design and develop interactive dashboards and reports using Power BI. - Build automated reports and dashboards using Power BI and other reporting tools. - Analyze data and present it in a clear format to support strategic decision-making. - Design data models and create efficient relationships within Power BI Desktop. - Perform DAX queries and use advanced DAX functions such as CALCULATE, FILTER, aggregation, and iterative functions. - Develop and deploy Power BI scripts and conduct detailed data analysis. - Identify and define KPIs to monitor business performance. - Perform SQL querying for high-performance data extraction and transformation. - Shape and transform data using Power Query and other ETL techniques. - Connect Power BI to multiple data sources including SQL, CSV, JSON, cloud platforms, and SharePoint. - Work with Power BI Service for report publishing, data refresh scheduling, and maintenance. - Enhance existing BI systems by implementing technical improvements and optimizations. - Support data warehouse development and apply database fundamentals in reporting solutions. Required Technical Skills - Strong expertise in Power BI visualization including bar charts, stacked charts, line charts, pie charts, area charts, slicers, tables, and matrix. - Advanced knowledge of DAX and understanding of context and context transitions. - Proficiency in MS SQL Server BI Stack including T-SQL, Power Query, and MDX. - Strong understanding of relational and multidimensional database design. - Experience in data modeling, data integration, and data warehousing. - Ability to translate complex data into clear analytical insights.

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