Business Intelligence Developer

We’re looking for a Business Intelligence Developer who will design, build, and maintain BI solutions that drive data-driven decision-making. In this role, you’ll leverage your expertise in data modeling, dashboard creation and data pipeline optimization to enhance our reporting and analytics capabilities.

Responsibilities

• Translate business needs to technical specifications.
• Write efficient and optimized SQL queries to extract, transform, and analyze large volumes of operational and business data from various databases. 
• Develop and maintain ETL processes using SSIS and design robust data models with SSAS Tabular to ensure a scalable reporting foundation. 
• Design and build interactive dashboards in Power BI, applying DAX skills to create clear visualizations and generate periodic and ad-hoc reports that communicate key performance indicators and business insights.
• Conduct detailed data analyses to identify trends, anomalies, and opportunities that drive process improvements and support effective decision-making.
• Maintain comprehensive technical documentation for data models, system processes and reporting tools to support ongoing improvements and troubleshooting.

Requirements & Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field .
• Minimum 3+ years experience in Business Intelligence development, Data Analysis or other data-focused roles.
• Strong understanding of data warehousing concepts, dimensional modeling, OLAP and data warehouse design principles .
• Proficiency in SQL for efficient data extraction, transformation, and performance tuning.
• Good grasp of ETL processes, data pipelines and data governance best practices. 
• Deep hands-on experience with PowerBI, including data modeling, DAX development  and visualization design.
• Proficiency in SSAS tabular models for advanced data analytics.
• Writing effective and scalable Python codes  is advantageous.
• Excellent communication skills to clearly explain data insights to non-technical stakeholders.