2027 Data Analytics & Business Operations Spring Co-Op or Summer Intern- Bachelor's/Master's

We are seeking a highly motivated and analytical intern to support strategic business operations, process improvement, and data analytics initiatives. This role is ideal for a student pursuing a degree in Industrial Engineering or another engineering discipline who is passionate about leveraging data to solve business problems, improve operational performance, and enable data-driven decision-making. The intern will work with cross-functional teams to analyze business processes, develop insights from enterprise data, and support initiatives related to forecasting, productivity, business intelligence, and operational excellence. Key Responsibilities * Gather, clean, analyze, and interpret data from multiple business systems and data sources. * Develop dashboards, reports, and visualizations to communicate business performance and trends. * Support forecasting, planning, and operational improvement initiatives. * Analyze business processes and identify opportunities for automation, efficiency gains, and waste reduction. * Document current and future-state workflows, requirements, and process maps. * Assist with business intelligence projects using data analytics tools and reporting platforms. * Perform root cause analysis and develop recommendations to improve operational effectiveness. * Collaborate with stakeholders across Operations, Finance, Customer Success, Sales Operations, and Product teams. * Present findings and recommendations to project teams and leadership. ## Required Qualifications * Currently pursuing a Bachelor's or Master's degree in: * Industrial Engineering/Operations Research * Mechanical Engineering * Systems/Computer Engineering * Or another engineering discipline with a demonstrated passion for data analytics * Strong analytical and problem-solving skills. * Proficiency with Microsoft Excel, including formulas, pivot tables, and data analysis. * Ability to work independently and manage multiple priorities. * Curious mindset with a desire to learn new technologies and business processes. ## Preferred Qualifications * Experience with data visualization tools such as Power BI, Tableau, or similar platforms. * Familiarity with data querying concepts. * Coursework or experience in: * Data Analytics * Process Improvement * Lean Manufacturing/Six Sigma * Operations Research * Business Intelligence * Experience with Python, R, or other analytics tools is a plus. * Knowledge of process mapping and continuous improvement methodologies. ## What You'll Gain * Exposure to real-world business operations and strategic decision-making. * Hands-on experience working with enterprise data and analytics platforms. * Opportunities to lead and present a meaningful project with measurable business impact. * Mentorship from experienced operations, program management, and analytics professionals. * Experience collaborating across multiple business functions in a global technology organization. ## Desired Candidate Profile The ideal candidate enjoys transforming data into actionable insights, questions assumptions, and takes initiative to identify opportunities for process improvement. They are equally comfortable working with data, business stakeholders, and operational challenges, and are excited to apply engineering principles to solve complex business problems. Full-time Spring Co-op or Summer Internship opportunity! Role will be on-site. Applications will be reviewed on a rolling basis. Please apply by December 30, 2026. Note: This position may close early based on application volume or candidate selection. ## Qualifications ### Education: Bachelor's Degree ### Skills ### Certifications: ### Languages: ### Years of Experience: ### Work Experience: ## Additional Information ### ### Shift: 10-Day 8-Hr (United States of America) ### ### Travel: No ### ### Relocation Eligible: Yes ### Referral Payment Plan: None Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.