● Utilized Power BI's data import functionality to connect to the SQL Server database and extract relevant sales data for analysis.● Employed Power Query within Power BI to clean the extracted sales data, addressing inconsistencies, removing duplicates, and handling missing values to ensure data accuracy.● Developed a comprehensive data model within Power BI, establishing relationships between sales data tables and other 8 datasets to facilitate analysis.● Created visually compelling dashboards in Power BI, leading to a 20% increase in data interpretation speed and a 50% improvement in decision-making accuracy, enabling swift adjustments and more effective strategies.● The range length report for evaluating sales representatives has resulted in a 60% reduction in bonus payouts, effectively safeguarding the company's reputation.● Conducted in-depth analysis of sales trends over time, identifying patterns, seasonality, and potential areas for growth or improvement.● Analyzed product sales performance, including top-selling products, product profitability, and product contribution to overall revenue.● Segmented customers based on purchasing behavior, demographics, or other criteria, and performed analysis to identify high-value customers, customer retention strategies, and opportunities for customer growth.● Generated actionable insights and recommendations based on data analysis findings to drive sales strategies, optimize pricing, target specific customer segments, and improve overall sales performance

● Extracted sales and customer data from SQL Server Database to ensure the accuracy and completeness of salesreports and analyses.● Applied data cleaning techniques using tools such as Excel and Excel Power Query to ensure data integrity. Thisinvolved tasks like data validation, removal of inconsistencies, and preparation of datasets for analysis.● Analyzed sales data to identify trends, patterns, and insights.● Developed and maintained Key Performance Indicators (KPIs) using DAX functions in Power BI to track salesperformance, identify growth opportunities, and evaluate the effectiveness of sales strategies.● Created detailed and visually engaging sales reports and dashboards, using advanced visualization techniques inPower BI to present data insights to stakeholders and support strategic decision-making.● Worked closely with the sales team and other departments to gather requirements, communicate analytical findings,and develop recommendations for improving sales processes and achieving departmental goals.● Identified inefficiencies in sales processes and provided data-driven recommendations that led to a 15% increase insales productivity and a 10% improvement in lead conversion rates.

● Extracted data from SAP to ensure comprehensive coverage of accounts payable transactions.● Employed Power Query in Power BI to clean and preprocess the data, utilizing functions like Remove Duplicates and Fill Down to enhance data quality.● Utilized advanced visualization techniques in Power BI to represent accounts payable data and highlight inefficiencies.● Created DAX functions to calculate key performance indicators (KPIs) resulted in a 20% decrease in average invoice processing time and a reduction of invoice error rates by 25%, providing actionable insights for process optimization.● Collaborated with stakeholders to communicate findings effectively, facilitating informed decision-making and driving improvements in accounts payable processes.