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Metro location, common BI title, and broad Power BI/Azure/SQL requirements increase candidate competition.
Power BI, SQL and cloud analytics skills are highly transferable across industries.
Explicit 8+ years plus mandatory Power BI, Azure, and SQL create strict screening filters.
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Architect, build, and optimize enterprise reporting solutions including dashboards, semantic models, transformations, and embedded analytics primarily using Power BI and associated technologies.
Design scalable semantic layers and establish reporting engineering standards covering source control, testing, documentation, release management, and production readiness.
Collaborate cross-functionally with Product, Engineering, Data teams to translate needs into scalable analytics, and mentor engineers and analysts on consistent reporting practices.
8+ years experience in reporting, BI, analytics engineering, enterprise data, or cloud data platform solutions.
Deep hands-on expertise with Power BI Desktop, Power BI Service, DAX, Power Query, semantic modeling, data refresh management, security, and performance optimization.
Proficiency with SQL including complex queries, views, stored procedures, and data transformation logic.
Experience with Azure, Azure Synapse, Power BI, AWS, and modern cloud data environments.
Senior-level BI or analytics engineer with strong bias towards Power BI and modern cloud data platforms (Azure/AWS).
Experienced in designing governed, scalable data semantic layers and operationalizing production-ready BI solutions with robust validation and monitoring.
Comfortable driving engineering standards and mentoring teams to adopt consistent applied reporting engineering best practices.