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Collaborated with cross-functional teams to gather business requirements and helped build ETL pipelines using SQL and Python, processing 100K+ records monthly and improving data accuracy by 15% Leveraged Business Intelligence and Data Mining techniques to analyze business data, identifying performance trends and root causes of inefficiencies, resulting in a 15% improvement in reporting accuracy and efficiency. Developed interactive dashboards in Power BI and Tableau, employing data-visualization best practices to present KPIs, sales trends, and operational metrics. Implemented automated reporting processes for recurring reports using Power Query, VBA and Excel formulas, reducing manual effort by 30%. Designed and implemented self-service analytics capabilities by incorporating user-driven filters, drill-down functionality, and intuitive navigation, empowering non-technical stakeholders to analyze data independently; communicated insights and onboarding guidance through clear documentation and interactive walkthroughs, improving user adoption by 40%.
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