Data Analyst
Core
Performs statistical modeling and analysis of structured and unstructured datasets to develop metrics, reports, and visualizations of trends and patterns for semiconductor manufacturing operations.
Role type
Data Analyst (Data Engineering & Analytics)
Builds
Scalable data pipelines, databases, analytics platforms, predictive models, dashboards, and reporting tools for factory performance.
Domain
Semiconductor manufacturing / Industrial Engineering
Deliverable
production ML models | dashboards & analysis | product features
Required skills
Python, SQL, data visualization tools, database management, statistical analysis, operational analytics
Preferred skills
Machine learning, MES platforms, automation systems, cloud technologies, big data platforms, Industrial Engineering methodologies
Technologies
Python, SQL, React, Angular, Node.js, .NET, APIs, cloud platforms
Responsibilities
Design, develop, and maintain scalable data pipelines, databases, and analytics platforms; Analyze large manufacturing datasets to identify trends and improve operational efficiency; Develop predictive models, dashboards, reporting tools, and automation solutions; Collaborate with process engineers and operations teams to translate challenges into data-driven solutions; Support integration between manufacturing systems, databases, MES platforms, and digital applications; Participate in digitalization, AI, automation, and smart manufacturing initiatives; Ensure data accuracy, reliability, and accessibility across operational systems.
Seniority
Junior to Mid-level (0–3 years experience)
