Senior Business Intelligence Specialist

Job Description

The Senior BI Specialist is responsible for designing, developing, and maintaining executive dashboards and analytical reports to support informed decision making across the organization. The role focuses on transforming financial, HR, procurement, and other related business data into actionable insights using Business Intelligence and analytics platforms.

• Design, develop, and maintain interactive dashboards and analytical reports to support executive and operational decision making.
• Build and maintain analytical models, dataflows, and semantic layers to enable reliable and scalable reporting.
• Analyze financial, HR, procurement, and related business data to identify trends, variances, and performance insights.
• Develop and maintain standardized KPIs and performance metrics aligned with business objectives.
• Translate business requirements into effective BI and analytics solutions.
• Ensure data accuracy, consistency, and reconciliation between BI reports and source systems.
• Collaborate with IT, Finance, HR, Procurement, and other stakeholders to support reporting and analytics needs.
• Support documentation of dashboards, reports, data models, and user guides.
• Continuously enhance BI solutions based on business feedback and evolving requirements.

Job Requirements Required Qualifications & Experience

• Bachelor's degree in information systems, Computer Science, Data Analytics, or a related field.
• Proven experience in Microsoft Power BI, including data modeling, DAX, and Power Query.
• Strong experience in data analysis and reporting across financial, HR, procurement, and related business domains.
• Solid understanding of data structures, KPIs, and performance reporting.
• Proficiency in SQL for data querying and analysis.

Preferred Qualifications

• Experience working with ERP systems, preferably Microsoft Dynamics 365 (Finance, HR, Procurement).
• Experience with Microsoft Fabric analytics capabilities.
• Familiarity with Azure data and analytics services (e.g., Azure SQL, Synapse, Data Factory).
• Python for data analysis and data preparation (preferred).
• Experience in corporate or enterprise-level reporting environments.