Lead the design and development of complex Power BI dashboards and reports, ensuring they meet business requirements and are visually appealing and user-friendly.
Architect and implement robust data models, including semantic modeling and data transformation using Power Query (M) and DAX.
Optimize Power BI dashboards for performance, including query optimization, data caching, and report rendering.
Develop and implement best practices for Power BI development, deployment, and maintenance.
Mentor and guide junior Power BI developers, providing technical expertise and support.
Collaborate with business stakeholders to gather requirements and translate them into technical specifications.
Stay up-to-date with the latest Power BI features and trends.
Manage the Power BI environment, including security, access control, and deployment.
Participate in code reviews and ensure code quality.
Troubleshoot and resolve Power BI related issues.
Contribute to the overall data strategy of the organization.
[Optional: Include specific project or domain experience, e.g., Experience with financial reporting, sales analytics, etc.]
Required Skills:
12+ years of experience in data warehousing, business intelligence, and reporting.
7+ years of hands-on experience with Power BI development, including DAX, M, data modeling, and visualization.
Strong in SQL
Deep understanding of Power BI architecture, including gateways, datasets, and workspaces.
Proven experience in performance tuning and optimization of Power BI dashboards.
Strong understanding of data warehousing concepts and dimensional modeling.
Excellent SQL skills.
Experience with data integration and ETL processes.
Strong communication and collaboration skills.
Ability to lead and mentor a team of developers.
Ability to work independently and as part of a team.
Excellent problem-solving and analytical skills.
Preferred Skills (Good to Have):
Experience with other data visualization tools like Tableau, SSRS, Sigma, etc.
Experience with cloud platforms like Azure (specifically Azure Analysis Services, Azure Data Factory, Azure Synapse Analytics) or AWS.
Experience with scripting languages like Python or PowerShell.
Understanding of Big Data and Datawarehouse , ETL pipelines etc.
Experience with data governance and security best practices.