About the role
Mid-level Business Analyst role focused on semiconductor manufacturing data analysis and process improvement. Responsible for analyzing production data, developing KPIs, and driving operational excellence through data-driven insights and cross-functional collaboration.
BankingOnsite
Key Responsibilities
- Analyze complex manufacturing data to identify trends, patterns, and opportunities for improvement
- Develop and maintain key performance indicators (KPIs) and dashboards for production metrics
- Collaborate with cross-functional teams including production, quality, and engineering to drive data-driven decisions
- Lead process improvement initiatives using Lean and Six Sigma methodologies
- Create detailed reports and presentations for senior management on operational performance
- Conduct root cause analysis for production issues and recommend corrective actions
- Support ERP/MES system enhancements and data integrity initiatives
- Perform ad-hoc analysis to support strategic business decisions
- Document business processes and recommend optimization strategies
- Facilitate training sessions on data tools and analytical techniques
Requirements
- Bachelor's degree in Business, Engineering, Computer Science, or related field
- 3-5 years of experience in business analysis or data analysis role
- Strong proficiency in SQL and data visualization tools (Tableau, Power BI)
- Advanced Excel skills including pivot tables, macros, and complex formulas
- Experience with ERP and MES systems in manufacturing environment
- Knowledge of semiconductor manufacturing processes preferred
- Six Sigma Green Belt certification or willingness to obtain
- Strong analytical and problem-solving skills with attention to detail
- Excellent communication and presentation skills for technical and non-technical audiences
- Ability to work independently and manage multiple projects simultaneously
- Experience with statistical analysis and SPC methodologies
- Knowledge of Lean manufacturing principles and process improvement techniques
- Familiarity with KPI development and performance measurement systems
- Strong project management skills and ability to drive cross-functional initiatives