PBI Lead - R01551054

Bangalore, Karnataka, India
Data and AI – Data and AI : Insights & Analytics /
Employee /
Hybrid
BI Architect

Primary Skills

    • MSBI (SSIS, SSAS, SSRS), SQL, Advanced Excel, Power BI, Power App, Azure Analysis Services, Synapse, Data Factory, Databricks

Specialization

    • Power BI Architecture: BI Architect
    • Azure Fabric, PowerBI, SAP BW, SAP ECC

Job requirements

    •  
    • Role: BI Lead Key Responsibilities:
    • •         BI Architecture Design: Lead the design, development, and optimization of Business Intelligence architectures using Microsoft Power BI and Azure Data Fabric to enable efficient data visualization, reporting, and analysis across the organization.
    • •         Working knowledge of SAP BW & ECC for at least 2 years.
    • •         Data Modelling: Design and implement data models, leveraging Azure Data Fabric for seamless data integration, transformation, and orchestration, ensuring high-quality, consistent data flows across platforms.
    • •         Power BI Solution Delivery: Architect and implement Power BI solutions for interactive dashboards, reports, and data visualizations that provide actionable insights to business stakeholders.
    • •         End-to-End BI Pipeline Development: Develop and manage end-to-end BI pipelines, integrating various data sources into Azure Data Lake, and ensuring seamless data flow from source to Power BI for analysis.
    • •         Performance Optimization: Optimize data queries, dashboard performance, and report rendering in Power BI to ensure quick load times, responsiveness, and an overall user-friendly experience.
    • •         Collaboration with Stakeholders: Work closely with business users, data engineers, and IT teams to gather requirements, define KPIs, and design BI solutions that meet business needs and align with corporate objectives.
    • •         Data Governance & Security: Implement data governance best practices in line with industry standards, ensuring the security, privacy, and compliance of data in both the Azure environment and within Power BI reports and dashboards.
    • •         Advanced Analytics Integration: Leverage Azure Data Fabric, Azure Synapse, and other advanced Azure technologies to enrich Power BI solutions with predictive analytics, machine learning models, and AI-driven insights.
    • •         Documentation & Knowledge Transfer: Develop comprehensive documentation of BI architecture, data models, ETL processes, and Power BI solutions. Ensure smooth knowledge transfer to business users and technical teams.
    • •         Mentorship & Training: Provide guidance and mentorship to junior BI developers, analysts, and other team members. Conduct training sessions on Power BI best practices, design principles, and advanced functionalities.
    • •         Continuous Improvement: Stay up to date with the latest trends and advancements in Power BI, Azure, and business intelligence to continuously improve BI practices, tools, and solutions.
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