$ cat jobs/senior-data-analyst-microsoft-fabric-power-bi-luza-group-0cf71309ba03.json
Senior Data Analyst | Microsoft Fabric & Power BI
Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside. We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others. Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity. Its time to burst the bubble, and we will do it together! What You'll do: Gather and analyze business requirements in close collaboration with business teams; Translate business requirements into scalable analytical solutions; Design, develop and maintain enterprise analytics solutions using Microsoft Fabric and Power BI; Manage Power BI Workspaces, Apps, Semantic Models and deployment lifecycle; Implement and maintain Row-Level Security (RLS) supporting multiple business areas and geographies; Design, develop and optimize enterprise semantic data models; Develop and maintain metrics and KPIs using DAX; Build and maintain centralized datasets for enterprise reporting; Ingest and transform data using Microsoft Fabric capabilities; Develop solutions using Lakehouse, Mirroring, Warehouse and Data Pipelines where appropriate; Ensure governance, security, performance and scalability across the Power BI platform; Collaborate closely with Data Engineering and Data Platform teams; Who You Are: - Strong Problem solving capabilities; Strong hands-on experience with Microsoft Fabric; Strong experience with Power BI Desktop and Power BI Service; Experience managing enterprise Power BI environments; Experience managing Workspaces, Apps, Semantic Models and Deployment Pipelines; Experience wi
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