Sr BI and Data Analyst
Business Intelligence & Analytics Develop interactive Power BI dashboards and analytics solutions that drive business performance and strategic insight. Translate complex business requirements into analytical datasets, visuals, and self-service BI capabilities. Conduct in-depth data analysis to uncover trends, correlations, and opportunities for optimization across the enterprise. Build and maintain semantic models designed for usability, reliability, and high-performance reporting. Data Preparation & Fabric Workloads Develop and enhance data pipelines using Microsoft Fabric workloads such as Data Factory, Lakehouse, Warehouse, and Real-Time Intelligence. Prepare and transform structured and unstructured data using Delta Lake, notebooks, and shortcuts in OneLake. Support the integration and cleanup of enterprise data sources to improve reporting quality and analytical accuracy. AI-Enabled Insights & Advanced Analytics Utilize Fabric Copilot, Power BI Copilot, and Azure AI capabilities to enhance analytical workflows and accelerate insight generation. Build and iterate on conversational analytics experiences and data-driven copilots that support business users. Partner with teams to identify practical AI and advanced analytics use cases that improve forecasting, automation, and decision intelligence. Data Governance & Quality Apply and support data governance policies—including lineage, cataloging, and compliance standards—using Microsoft Purview. Ensure data accuracy, consistency, and completeness across BI assets and production datasets. Collaborate on the continuous improvement of data quality, documentation, and enterprise data definitions. Work closely with business stakeholders, data engineers, and enterprise architects to align reporting solutions with organizational goals. Serve as a trusted analytical partner by presenting insights, recommending actions, and influencing business decisions through data. Mentor analysts on analytical techniques, Power BI best practices, and effective storytelling with data. 7-10+ years of experience in business intelligence, analytics, or data analysis roles. Strong proficiency in Power BI, SQL, DAX, and data modeling techniques. Experience with Fabric workloads (Data Factory, Lakehouse, Warehouse) or similar modern analytics platforms. Working knowledge of PySpark, notebooks, or other data-prep tools. Deep understanding of analytics lifecycle, KPI development, and self-service BI enablement. Strong analytical and storytelling skills, with the ability to communicate complex insights to non-technical audiences. Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Power BI Data Analyst Associate (PL-300) LI-TD1
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Sr BI and Data Analyst
Business Intelligence & Analytics Develop interactive Power BI dashboards and analytics solutions that drive business performance and strategic insight. Translate complex business requirements into analytical datasets, visuals, and self-service BI capabilities. Conduct in-depth data analysis to uncover trends, correlations, and opportunities for optimization across the enterprise. Build and maintain semantic models designed for usability, reliability, and high-performance reporting. Data Preparation & Fabric Workloads Develop and enhance data pipelines using Microsoft Fabric workloads such as Data Factory, Lakehouse, Warehouse, and Real-Time Intelligence. Prepare and transform structured and unstructured data using Delta Lake, notebooks, and shortcuts in OneLake. Support the integration and cleanup of enterprise data sources to improve reporting quality and analytical accuracy. AI-Enabled Insights & Advanced Analytics Utilize Fabric Copilot, Power BI Copilot, and Azure AI capabilities to enhance analytical workflows and accelerate insight generation. Build and iterate on conversational analytics experiences and data-driven copilots that support business users. Partner with teams to identify practical AI and advanced analytics use cases that improve forecasting, automation, and decision intelligence. Data Governance & Quality Apply and support data governance policies—including lineage, cataloging, and compliance standards—using Microsoft Purview. Ensure data accuracy, consistency, and completeness across BI assets and production datasets. Collaborate on the continuous improvement of data quality, documentation, and enterprise data definitions. Work closely with business stakeholders, data engineers, and enterprise architects to align reporting solutions with organizational goals. Serve as a trusted analytical partner by presenting insights, recommending actions, and influencing business decisions through data. Mentor analysts on analytical techniques, Power BI best practices, and effective storytelling with data. 7-10+ years of experience in business intelligence, analytics, or data analysis roles. Strong proficiency in Power BI, SQL, DAX, and data modeling techniques. Experience with Fabric workloads (Data Factory, Lakehouse, Warehouse) or similar modern analytics platforms. Working knowledge of PySpark, notebooks, or other data-prep tools. Deep understanding of analytics lifecycle, KPI development, and self-service BI enablement. Strong analytical and storytelling skills, with the ability to communicate complex insights to non-technical audiences. Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Power BI Data Analyst Associate (PL-300) LI-TD1