Key Responsibilities: Develop, publish, and schedule Power BI reports and dashboards to meet business requirements. Collaborate with business analysts and stakeholders to gather requirements and translate them into technical specifications. Create and maintain data models, including data cleaning, transformation, and integration from various sources like SharePoint, Azure and SQL servers. Optimize Power BI dashboards with a focus on usability and performance. Implement best practices for data visualization and report development. Troubleshoot and resolve issues related to Power BI reports and data sources. Perform data analysis to identify trends, patterns, and insights that support business decisionmaking. Prepare and present analytical findings to stakeholders in a clear and concise manner. Stay updated with the latest Power BI features and industry trends like Microsoft Fabric, Lakehouse, Data Warehouse, etc.
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Qualifications: Bachelors degree in Computer Science, Information Technology, Data Science, or a related field. Proven experience as a Power BI Developer, Data Analyst, or in a similar role. Strong proficiency in Power BI, including DAX and Power Query. Experience with SQL, Python and data modeling. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Knowledge of cloud platforms such as Azure and SharePoint online and power platform. Ability to work independently and as part of a team. Familiarity with data warehousing concepts. Proficiency in statistical analysis and data mining techniques.
Qualifications: Bachelors degree in Computer Science, Information Technology, Data Science, or a related field. Proven experience as a Power BI Developer, Data Analyst, or in a similar role. Strong proficiency in Power BI, including DAX and Power Query. Experience with SQL, Python and data modeling. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Knowledge of cloud platforms such as Azure and SharePoint online and power platform. Ability to work independently and as part of a team. Familiarity with data warehousing concepts. Proficiency in statistical analysis and data mining techniques.