IT Business Data Analyst

• Design, develop, and continuously improve Power BI dashboards, reports, and KPIs.
• Translate business requirements into analytical models, meaningful KPIs, and actionable insights.
• Perform data validation, reconciliation, cleansing, and quality checks.
• Extract, integrate, transform, and prepare data from multiple sources.
• Develop and maintain ETL processes using Power Query, SSIS, SSAS, and other appropriate tools.
• Build and optimize data models, including Star Schema, relationships, dimensions, and measures.
• Develop advanced DAX calculations, including Time Intelligence, variance, and period-over-period analysis.
• Automate repetitive reporting and data-processing activities using Power BI, Excel, Python, or other tools.
• Identify opportunities for process automation, cost reduction, productivity improvement, and operational efficiency.
• Document data sources, models, KPIs, business rules, and reporting processes.

Requirements:
• Strong hands-on experience with Microsoft Power BI.
• Advanced knowledge of DAX, Power Query, and data modeling.
• Strong understanding of ETL and data preparation.
• Good knowledge of SQL and relational databases.
• Strong understanding of business performance, KPIs, and variance analysis.
• Strong understanding of data quality and data validation principles.
• Bachelor's or Master's degree in IT, Computer Science, Information Systems, Business Analytics, Data Analytics, Engineering, Finance, or a related field.
• Minimum 4 years of professional experience in IT Business Data Analysis, Business Intelligence, Data Analytics, or a closely related role.
• Relevant certifications in Microsoft Power BI, Data Analytics, SQL, or related technologies are an advantage.
• Excellent analytical and critical-thinking skills.
• Strong problem-solving and root-cause analysis capabilities.