Key Responsibilities:

- Develop Power BI reports and dashboards for the College Success, Finance, HR, and Executive domains.

- Build and optimize semantic models in Power BI / Fabric (DirectLake and Import modes), including relationships, hierarchies, calculation groups, and DAX measures.

- Translate KPI definitions and wireframes from the Requirements Specification Document (RSD) into production-ready visuals with full traceability.

- Implement Row-Level Security (RLS) and Object-Level Security (OLS) aligned (Business Users, Power Users, Super Users/Admins).

- Optimize report performance through query folding, aggregations, incremental refresh, and DAX tuning; meet defined SLAs for load and refresh.

- Partner with data engineers to refine Gold-layer datasets and resolve data quality or modeling gaps.

- Support deployment across Dev - Test - Prod workspaces using Fabric deployment pipelines and Git integration.

- Conduct UAT sessions, capture stakeholder feedback, and iterate reports through certification.

- Produce report documentation: KPI definitions, measure dictionaries, user guides, and operational runbooks.

Required Qualifications:

- Bachelor's degree in Computer Science, Information Systems, Analytics, or related field.

- 4+ years of hands-on Power BI development experience, including at least one enterprise-scale deployment.

- Strong DAX skills: time intelligence, calculation groups, variables, and performance tuning.

- Proficiency in Power Query (M) for data shaping and transformation.

- Experience building semantic models on Microsoft Fabric, Azure Synapse, or comparable cloud data warehouses.

- Working knowledge of star schema modeling and Gold-layer consumption patterns.

- Experience implementing RLS/OLS and workspace governance in Power BI Service.

- Strong visualization design sense; able to translate raw KPIs into clear, actionable dashboards.

- Excellent written and verbal communication; comfortable presenting to business stakeholders.

Preferred Qualifications:

- Microsoft certifications: PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer).

- Experience with Microsoft Fabric DirectLake mode and Lakehouse-based semantic models.