Data Analyst
May 2024 — present
Location: Wet & Forget
• Create key performance indicators (KPIs) through market analysis, and develop data visualization report -interactive dashboards in Excel, Looker Studio, Power BI that enhance decision-making efficiency
• Implement A/B Testing in Google Optimize with Search Engine Optimization (SEO) and Tag Manager
• Design a structured SQL database (SSMS & SQL Server) to optimize data storage, showcasing flexibility in adapting to complex data management needs and supporting informed business analysis
• Improve reporting efficiency by 59% with SQL queries to manage marketing and sales data on Azure
• Improve data accuracy and reduce processing time to 10 seconds by optimizing ETL pipelines, employing the best practices in database administration to efficiently process large-scale datasets
• Initiated minimizing manual efforts and errors by creating RESTful APIs with Python, JSON, Java, XML, and Agile methods to create automated data pulling from various e-commerce and marketing platforms
• Leverage TensorFlow to develop machine learning models to provide informed strategic forecasting