Power BI Developer

• Report & Dashboard Development: Design develop and maintain interactive and
  
• visually appealing Power BI reports and dashboards that provide actionable insights for
  
• various business units.
  
• Data Modeling: Create and manage complex data models relationships and
  
• calculations using Power BI Desktop and Power Query.
  
• Data Integration: Connect to various data sources (e.g. SQL Server Excel
  
• SharePoint APIs) and perform data extraction transformation and loading (ETL) as
  
• needed.
  
• Performance Optimization: Optimize Power BI reports and dashboards for
  
• performance ensuring quick load times and responsiveness.
  
• User Support: Provide technical support and training to endusers helping them
  
• understand and leverage Power BI tools effectively.
  
• Data Analysis: Analyze and interpret data trends and patterns to provide actionable
  
• business insights.
  
• Collaboration: Work closely with stakeholders including business analysts data
  
• scientists and IT teams to gather requirements and deliver data solutions that meet
  
• business needs.
  
• Documentation: Maintain clear and comprehensive documentation for all Power BI
  
• projects including data sources calculations and report design.
  
• Compliance & Governance: Ensure data governance standards and best practices are
  
• followed maintaining data security and privacy.
  

Requirements

• Bachelor s degree in Computer Science Information Systems Data Science or a
  
• related field. Relevant certifications (e.g. Microsoft Certified: Data Analyst Associate)
  
• are a plus.
  
• Proven experience of 3 years as a Power BI Developer or in a similar role with a
  
• strong portfolio of developed Power BI reports and dashboards.
  
• Proficiency in Power BI Desktop Power BI Service and Power Query.
  
• Strong knowledge of DAX (Data Analysis Expressions) and M (Power Query Formula
  
• Language).
  
• Experience with SQL and other data querying languages.
  
• Familiarity with data visualization best practices and principles.
  
• Experience with data warehousing and ETL processes is a plus.
  
• Strong analytical and problemsolving skills.
  
• Excellent communication and interpersonal skills.
  
• Ability to work independently and manage multiple projects simultaneously.
  
• 11. Attention to detail and commitment to delivering highquality results.