Business Intelligence Manager
CurrentAs a Business Intelligence Manager, I lead data integration and analysis across wholesale, retail, and e-commerce sales channels. I automate workflows through Power BI, Python, and Visual Studio Code, providing real-time insights that drive strategic decision-making and revenue growth.Key Responsibilities:Data Integration: Managed data integration across Meta, Google Ads, Amazon Ads, Wayfair, and Home Depot, ensuring comprehensive insights for cross-functional teams across wholesale, retail, and e-commerce channels.Automation & Architecture: Designed scalable data architectures and automated processes using Python, cutting manual reporting time by 40% and improving data accuracy.Predictive Analytics & Reporting: Developed predictive models and Power BI dashboards using SQL to analyze campaign performance, customer behavior, and sales data, driving sales growth and channel optimization.Revenue & P&L Analysis: Analyzed revenue trends and P&L performance, delivering insights that informed strategic decision-making and improved marketing spend efficiency by 20%.Cross-Channel Data Analysis: Unified data from multiple platforms into Power BI dashboards, providing leadership with actionable insights that improved decision-making across all sales channels.Collaboration & Strategy: Aligned data strategies with business goals across marketing, sales, and product teams, resulting in a 15% increase in customer acquisition and a 40% boost in lead generation.Data Governance: Established frameworks to ensure data integrity and compliance across platforms.Key Achievements:Automated data collection and reporting for wholesale, retail, and e-commerce channels, improving accuracy and speed of insights.Integrated data across Google Ads, Meta, and other platforms, enhancing P&L performance and driving improved marketing results.Delivered revenue and P&L analysis across sales channels, informing decisions that improved cost efficiency.