2026 Summer Industrial Engineering Intern- Master's (Santa Clara, CA)

Applied MaterialsSanta Clara, CA
3dOnsite

About The Position

Structure and break down complex business problems, develop hypothesis, drive analysis and deliver recommendations in a data-driven manner Lead thoughtful and rigorous analysis across large data sets and synthesize insights and opportunities Develop and present high-quality recommendations and deliverables for executive level consumption and contribute to associated strategy and execution discussions Work collaboratively across a cross-functional set of stakeholders to gather the right information, pressure test your hypothesis, co-create deliverables, accelerate execution and unlock value Optimize operations and business processes to improve performance, reduce cycle time, and shrink costs Data Analytics: Tableau, Power BI, Python, SQL, Excel VBA Scripting, Microsoft Office IE skills: Operations Management, Cost Reduction, Scheduling, Program management, Lean Manufacturing, Productivity Improvements

Requirements

  • Student must be pursuing a Master's degree in Industrial Engineering or Computer Science or Data Science or Business Management or a related major
  • Student must be in good academic standing at their university, with a GPA of 3.0 or above on a 4.0 scale preferred
  • Strong analytical skills - able to extract real insight from multiple data sources
  • Ability to problem-solve creatively and analytically
  • Able to work effectively in a matrix environment and influence others
  • Data analytics skills (PowerBI, Tableau, Advanced Excel, Python, working with multiple data sets)
  • Detail oriented, able to connect the dots and communicate complex ideas effectively
  • Knowledge of Lean / Six Sigma
  • Desire for continuous learning and improvement
  • Flexible and adaptable mindset who thrives in a results-driven culture
  • Excellent listening, writing, quantitative, qualitative, and oral communication skills

Responsibilities

  • Structure and break down complex business problems
  • Develop hypothesis
  • Drive analysis and deliver recommendations in a data-driven manner
  • Lead thoughtful and rigorous analysis across large data sets and synthesize insights and opportunities
  • Develop and present high-quality recommendations and deliverables for executive level consumption and contribute to associated strategy and execution discussions
  • Work collaboratively across a cross-functional set of stakeholders to gather the right information, pressure test your hypothesis, co-create deliverables, accelerate execution and unlock value
  • Optimize operations and business processes to improve performance, reduce cycle time, and shrink costs
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