Sales and Business Analyst

Job Description & Achievements

• Built Python ETL pipelines to automate sales reporting, reducing manual processing by 50%.
• Developed Power BI dashboards to track KPIs and sales trends, improving decision-making speed.
• Optimized MySQL queries, accelerating data retrieval by 30%.
• Analyzed sales data to provide actionable insights, boosting revenue by 15%.
• Collaborated with sales teams to identify key performance indicators, aligning strategies.
• Created inventory turnover reports, reducing excess stock by 20%.
• Automated data cleansing processes using Python scripts, saving 10 hours weekly.
• Presented analytical findings to stakeholders, securing buy-in for new initiatives.
• Designed data models to support business forecasting, increasing accuracy by 25%.
• Implemented data validation checks, reducing errors by 40%.
• Trained team members on Power BI dashboards, enhancing team efficiency.
• Monitored sales performance against targets, achieving 95% of goals consistently.
• Developed ad-hoc reports for strategic planning, aiding a 10% market share growth.
• Integrated external data sources into analytics platforms, broadening data scope.
• Documented ETL processes, enabling seamless onboarding of new analysts.

Skills Learned

• Python programming for ETL processes
• SQL query optimization
• Power BI dashboard development
• Data analysis and visualization
• Business intelligence reporting
• Data modeling and forecasting
• Team collaboration and training
• Data validation and cleansing
• Stakeholder communication
• Inventory management analytics
• Automated scripting
• Ad-hoc reporting
• Data integration techniques
• Process documentation
• Performance monitoring