MSFT Power BI+Snowflake Professionals

Key Responsibilities

• Develop & Maintain Dashboards: Design, develop, and maintain interactive Power BI reports, dashboards, and visualizations based on business requirements.
• Data Modeling: Create and maintain data models using Power BI Desktop to enable seamless reporting and analytics. Utilize DAX (Data Analysis Expressions) for creating complex calculations.
• ETL Processes: Work with the data engineering team to extract, transform, and load (ETL) data from various sources (e.g., SQL Server, Excel, SharePoint, cloud platforms) into Power BI.
• Data Integration: Integrate data from diverse sources, ensuring data accuracy, integrity, and consistency.
• Stakeholder Engagement: Collaborate with business users to understand reporting needs and translate them into technical specifications.
• Performance Optimization: Optimize Power BI reports and dashboards for improved performance, including query optimization, indexing, and data model adjustments.
• Documentation: Create and maintain clear documentation for all reports, dashboards, and Power BI solutions to ensure sustainability and knowledge sharing.
• Training & Support: Provide support and training to end-users on Power BI best practices, self-service BI, and report usage.
  

Required Skills And Qualifications

• Experience with Power BI: Proven experience with Power BI development, including Power BI Desktop, Power BI Service, and Power Query.
• Data Modeling & DAX: Strong skills in data modeling, creating complex measures using DAX, and developing calculated columns and tables.
• SQL Knowledge: Proficiency in SQL for querying relational databases and extracting data from various sources (SQL Server, Azure, etc.).
• ETL Knowledge: Familiarity with ETL tools and processes to cleanse, transform, and load data.
• Visualization Best Practices: Expertise in creating intuitive and interactive dashboards with a user-friendly design.
• Problem Solving: Strong analytical and problem-solving skills with the ability to work independently and as part of a team.
• Communication Skills: Excellent verbal and written communication skills to interact with stakeholders and present findings.
  

Preferred Qualifications

• Experience with Azure: Familiarity with Azure data services such as Azure SQL, Azure Data Lake, or Azure Synapse Analytics.
• Advanced Analytics Tools: Experience with Power BI s advanced analytics features, such as integrating Python or R scripts, machine learning models, or AI-driven insights.
• Power BI Administration: Experience with Power BI Service administration (workspace management, security, data refresh schedules, etc.).
• Certifications: Microsoft Certified: Data Analyst Associate or other relevant Power BI or BI-related certifications.