Business Intelligence Analyst Senior

As a Senior Business Intelligence Analyst , you will play a critical role in shaping how leaders understand and act on data across the organization. This is a hands‑on, senior‑level position for someone who enjoys building clean, scalable data models, translating complexity into clarity, and partnering closely with both technical teams and business stakeholders. What You Will Do Design & Build Trusted Data Models Design and implement high-performance data models using star and snowflake schemas Create well‑structured relationships, hierarchies, and calculated measures Ensure models are scalable, maintainable, and aligned with enterprise standards Develop Impactful Power BI Solutions Build intuitive, interactive dashboards and reports that answer real business questions Use DAX and Power Query (M) for advanced calculations and transformations Implement row-level security (RLS) and support workspace governance Own the Power BI Architecture Work across Power BI service layers, gateways, and premium capacities Integrate Power BI with Azure Data Factory, SQL Server, and enterprise data sources Ensure compliance with data governance, security, and privacy standards Optimize Performance at Scale Monitor and improve report performance and dataset refresh strategies Apply best practices for incremental refresh , query folding, and large datasets Collaborate and Lead Partner closely with data engineers, analysts, and business leaders Provide guidance on Power BI adoption, workspace design, and governance frameworks Serve as a trusted advisor for BI best practices and standards What We Are Looking For Education Bachelor’s degree strongly preferred Candidates without a Bachelor’s degree must have 4+ years of relevant clinical or technical application experience in lieu of a degree Technical Expertise Advanced experience with Power BI Desktop and Power BI Service Strong command of DAX, Power Query, and data modeling principles Experience with Power BI architecture, including gateways, deployment pipelines, and capacity planning Data & Analytics Background Experience with ETL processes, SQL, and data warehousing concepts Solid understanding of data governance, security, and best practices #J-18808-Ljbffr