Data Analyst (disability Hire)

Intel Intel · Semiconductors · Tokyo, Japan

This role focuses on data analysis and developing AI/ML techniques for manufacturing processes within Intel Foundry. The primary responsibilities include developing data acquisition and analysis scripts, creating visualization dashboards, and exploring foundational AI/ML to improve pattern detection and automate analyses in manufacturing data. The role requires foundational understanding of AI/ML concepts and experience with data analysis tools and programming languages.

What you'd actually do

  1. Develop scripting to enable data analysis of upstream processing parameters and integrating with downstream processes to identify potential integrative quality and performance concerns.
  2. Develop data acquisitions, database management and design requirements to enable seamless data extraction and data analysis capabilities and linkage with partner manufacturing companies across the globe.
  3. Develop dashboards for better visualization for critical indicators, develop real time project trackers, develop IT solutions to optimize manual workload.
  4. Explore and apply foundational AI/ML techniques to process substrate and assembly and test manufacturing data to improve pattern detection, automate routine analyses, and support data driven decision making.

Skills

Required

  • SQL
  • Python
  • R
  • Power BI
  • scripting
  • database and database design and management
  • AI and machine learning concepts
  • basic analytical models
  • Python libraries
  • data driven problem solving techniques
  • English communication

What the JD emphasized

  • Foundational understanding of AI and machine learning concepts, with hands on experience using basic analytical models, Python libraries, and data driven problem solving techniques to support process optimization and manufacturing analytics.

Other signals

  • Explore and apply foundational AI/ML techniques to process substrate and assembly and test manufacturing data to improve pattern detection, automate routine analyses, and support data driven decision making.