We are seeking a highly skilled BI Analyst-Developer to join our data and analytics team. The ideal candidate will have a strong technical background and hands-on experience across multiple areas of Business Intelligence and cloud-based data solutions. This role requires a resourceful professional capable of developing, maintaining, and optimizing data solutions, as well as adapting to emerging Azure and cloud technologies to meet evolving business needs.

• Key Responsibilities:
  Develop and maintain Business Intelligence solutions, including reports, dashboards, and data visualizations.
  
• Design, implement, and optimize data warehousing structures to support analytics and reporting requirements.
  
• Build and manage ETL processes, ensuring efficient, accurate, and reliable data flows.
  
• Develop cubes, semantic models, and patterns to enable efficient multidimensional analysis.
  
• Utilize SSIS to extract, transform, and load data from multiple sources.
  
• Build, enhance, and optimize Azure Data Factory (ADF) pipelines for cloud-based data integration and transformation.
  
• Continuously learn and implement new Azure / cloud tools and functionalities, including but not limited to Elastic Pools, Big Data services, and other modern data technologies.
  
• Collaborate with business stakeholders, data engineers, and analysts to deliver high-quality, scalable solutions.
  
• Troubleshoot and optimize existing BI solutions for performance, reliability, and maintainability.
  

Requirements

Required Skills & Experience:

• Proven experience as a BI Developer / Analyst in designing and developing BI solutions.
  
• Strong experience in data warehousing, ETL processes, and SSIS development.
  
• Hands-on experience with cubes, semantic models, and multidimensional modeling.
  
• Proficiency in Azure Data Factory and cloud-based data integration tools.
  
• Strong analytical, problem-solving, and technical skills.
  
• Ability to quickly learn new Azure / cloud technologies and apply them effectively.
  
• Familiarity with cloud-based data platforms, such as Elastic Pools, Big Data, or similar services, is a plus.
  

Education & Certifications:

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field.
  
• Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Azure Data Engineer Associate) are advantageous.