Senior Industrial Engineer - Data-Driven Ops & Strategy

Applied Materials, Inc.; Santa Clara (CA); On-site; USD 154,000 - 212,000; Full time

Job summary

Applied Materials, Inc. in Santa Clara, CA, seeks a seasoned analytics professional to tackle complex business challenges and deliver data-driven recommendations.

You will manipulate large data sets and present insights to executive teams, influencing strategy across Engineering, Operations, Marketing, and Finance. The role requires 10–15 years of relevant experience, strong proficiency with SQL, Excel, Tableau, Power BI, and Python, and knowledge of Lean/Six Sigma.

Qualifications

• Strong analytical skills and ability to extract insights from multiple data sources.
• Expert-level SQL, Excel, Tableau, or Power BI; Python and APF a plus.
• Experience working across cross-functional teams: Engineering, Operations, Marketing, and Finance.
• Lean / Six Sigma knowledge; Green Belt or Black Belt preferred.

Responsibilities

• Structure and break down complex business problems and drive data-driven recommendations.
• Lead rigorous analysis across large data sets and synthesize insights.
• Develop and present executive-ready recommendations and drive strategy discussions.
• Partner with cross-functional stakeholders to gather data, pressure-test hypotheses, co-create deliverables, accelerate value.
• Optimize operations to deliver performance gains, cycle-time reduction, and cost savings.
• Apply program management discipline to keep initiatives within scope, schedule, and impact.

Skills

Analytical skills

Cross-functional collaboration

Executive communication

Data-driven analysis

Education

Bachelor's degree in Industrial Engineering or related field

MBA or Master's in Engineering or equivalent business experience

Tools

SQL

Excel

Tableau

Power BI

Python

Applied Smart Factory APF

Job description

Applied Materials, Inc. in Santa Clara, CA, seeks a seasoned analytics professional to tackle complex business challenges and deliver data-driven recommendations.

You will manipulate large data sets and present insights to executive teams, influencing strategy across Engineering, Operations, Marketing, and Finance. The role requires 10–15 years of relevant experience, strong proficiency with SQL, Excel, Tableau, Power BI, and Python, and knowledge of Lean/Six Sigma.