Business Intelligence Developer This role is designed for a hands-on Business Intelligence Developer who wants to own production Power BI delivery, build scalable semantic models, write advanced DAX and SQL, and modernize analytics solutions in a Microsoft Fabric environment. As the primary owner of production business intelligence implementation within the Business Analytics team, you will design, develop, test, deploy, and support scalable Power BI solutions that transform business requirements into reliable analytics products. You'll help increase delivery capacity, reduce technical debt, and modernize the organization's analytics environment through reusable semantic models, governed measures, and reliable reporting practices. The ideal candidate brings deep expertise in Power BI, DAX, SQL, Power Query, and dimensional modeling, along with the ability to work across reporting, data modeling, and analytics engineering.
Key Responsibilities
Production BI Development:
Design, develop, test, deploy, and support Power BI reports, dashboards, semantic models, and related analytics solutions.
Translate business requirements, approved designs, and acceptance criteria into scalable, production-ready solutions.
Develop advanced DAX, Power Query transformations, security models, and reusable calculation logic.
Recommend improvements to architecture and design when better technical approaches exist.
Semantic Modeling & Architecture:
Design and modernize dimensional semantic models with reusable facts, dimensions, governed measures, and business-friendly metadata.
Promote shared semantic models and reusable data products to support multiple reporting and analytics use cases.
Partner with analytics and engineering teams on data integration, transformation, data quality, and performance optimization.
Delivery & Production Support:
Deliver enhancements, defect resolution, new analytics products, and technical debt remediation from the development backlog.
Troubleshoot and resolve data, security, refresh, performance, and reporting issues.
Establish and maintain testing, reconciliation, deployment, release, and rollback practices to ensure reliable delivery.
Collaboration & Documentation:
Partner with Product, Analytics, and Engineering teams to balance user needs, technical requirements, and scalable solution design.
Document data lineage, calculations, security, dependencies, support procedures, and release notes.
Perform technical peer reviews and help develop reusable standards, patterns, and best practices.