Data Extraction & Preparation: Gather, clean, and structure data from multiple internal systems and sources, working within modern data environments such as Microsoft Fabric and Azure, to ensure accuracy and consistency.
Reporting & Dashboarding: Build and maintain dashboards and reports in Power BI (or similar tools) to visualize key metrics for business stakeholders.
Data Quality Monitoring: Perform regular data validation checks to ensure completeness, reliability, and integrity across datasets.
Ad-hoc Analysis: Support business teams by delivering quick-turnaround analyses that answer specific questions or test hypotheses.
Collaboration with Stakeholders: Work closely with data engineers and functional teams to understand data needs and translate them into actionable insights.
Documentation: Maintain clear documentation of data sources, metrics definitions, and reporting logic for transparency and scalability.
Continuous Learning: Stay curious about new tools, techniques, and AI-driven analytics capabilities to improve the team’s a
