-Managed revenue dashboards and datasets, analyzing financial data to support clients in optimizing revenue generation strategies -Managed KPIs on a daily basis to track and improve performance. Developed dynamic and informative dashboards using Power BI, transforming intricate data into visually appealing and actionable reports for clients and stakeholders. -Designed and implemented data visualization techniques to effectively convey findings, making complex data accessible to non-technical stakeholders. -Conducted comprehensive statistical analyses to identify trends, patterns, and outliers, supporting clients in data-driven strategies and process improvements. - Collaborated closely with cross-functional teams and clients to identify business challenges, providing data-driven solutions that contributed to the success of projects. -Leveraged SQL, Python, and Advanced Excel to extract, clean, and analyze data, offering critical insights to guide data-driven decision-making processes for clients.-Maintained a proactive approach to staying updated on industry trends and best practices, continuously enhancing data analysis and visualization skills to better serve clients.-----[Key Achievements]-----: -Optimized recruitment processes using data analysis, resulting in a 30% reduction in time-to-fill open positions and a 20% increase in the quality of candidates hired. -Conducted surveys and analyzed feedback to improve workplace conditions, leading to a 15% increase in employee satisfaction scores. -Achieved a 15% increase in revenue for a client by optimizing revenue generation strategies based on data analysis. This resulted in substantial growth in the client's bottom line and exceeded their revenue targets. -Analyzed customer data to create targeted marketing campaigns, resulting in a 20% increase in sales from a specific customer segment.