Taipei–Keelung Metropolitan area
Data and analytics professional with 3+ years of experience delivering business intelligence solutions across operations and manufacturing. I work closely with users and cross-functional teams to gather requirements, analyze business needs, and translate them into reliable analytical datasets, dashboards, and self-service tools. My work spans the full analytics lifecycle, including user engagement, data analysis, and QA/UAT. I work closely with data engineers to review data logic, support QA processes, and ensure data accuracy across data pipelines, enabling confident, data-driven decision making.
- Designed and built data models within Tableau and Power BI to unify multi-source raw data (MySQL, Snowflake) into standardized analytics layers, enabling cross-domain KPI monitoring and yield/quality analysis; authored ETL specifications and collaborated with Data Engineers to deliver scalable pipelines that reduced manual reporting by 70%+ and supported data-driven decision-making across product test engineering team. - Collaborated closely with end users to capture business requirements and translate them into BI solutions; produced solid requirement documents and partnered with Data Engineers, Data Scientist and Software Developers to deliver scalable internal data product and improved operational efficiency. -Planned QA and UAT processes and partnered with end-users to execute validation cycles, ensuring delivered BI solutions and data products met business expectations and aligned with governance standards.
- Identified testing yield issues and risks by analyzing data and visualizations on platforms like PDF-Exensio and OptimalPlus, supporting internal client needs. - Developed automated reporting tools in Python for ETL workflows, cutting weekly/monthly yield reporting time by 70%.
- Collaborated with manufacturing teams to build a real-time material dispatch dashboard using data from 10+ sources and Tableau, cutting rework time by over 30%. - Designed and maintained 10+ ETL pipelines in Python and PySpark, integrating MSSQL and Hive to support new product development and manufacturing simulations.