2027 Data Analytics & Business Operations Spring Co-Op or Summer Intern - Bachelor's/Master's (Austin, TX)

Description

The company is a global leader in materials science and engineering, supplying the equipment behind nearly every new semiconductor chip and advanced display.

The equipment the company builds and services is central to AI and to bringing next-generation chips to market.

This role suits a student who wants to use data to solve business problems in a company at the core of the electronics industry.

A good fit turns data into practical insight, challenges assumptions, and spots process improvements without being asked. You are as comfortable with data as with stakeholders and operational problems, and you enjoy applying engineering principles to hard business questions.

You will join cross-functional teams to study business processes, draw insight from enterprise data, and support forecasting, productivity, business intelligence and operational excellence.

Responsibilities

• Collect, clean, analyze and interpret data from several business systems and sources.
• Build dashboards, reports and visualizations that show business performance and trends.
• Help with forecasting, planning and operational improvement work.
• Review business processes to find chances for automation, efficiency and less waste.
• Write up current and future-state workflows, requirements and process maps.
• Contribute to business intelligence projects using analytics tools and reporting platforms.
• Run root cause analysis and propose changes that make operations work better.
• Work with people in Operations, Finance, Customer Success, Sales Operations and Product.
• Present findings and recommendations to project teams and leadership.

Requirements

• Currently enrolled in a Bachelor's or Master's program in Industrial Engineering or Operations Research, Mechanical Engineering, Systems or Computer Engineering, or another engineering discipline, with a clear interest in data analytics.
• Strong analytical and problem-solving skills.
• Working proficiency in Microsoft Excel, including formulas, pivot tables and data analysis.
• Able to work on your own and juggle several priorities.
• Curious, with a willingness to learn new technologies and business processes.
• Preferred: experience with visualization tools such as Power BI, Tableau or similar platforms.
• Preferred: familiarity with data querying concepts.
• Preferred: coursework or experience in data analytics, process improvement, Lean Manufacturing or Six Sigma, operations research or business intelligence.
• Preferred: experience with Python, R or other analytics tools.
• Preferred: knowledge of process mapping and continuous improvement methods.

Conditions

Based in Austin, TX, on-site, full-time.

Spring co-op or summer internship for students.

Travel is not required. Relocation is supported.

Applications are reviewed on a rolling basis. Apply by December 30, 2026, as the role may close early depending on volume or selection.

Pay depends on location, hire grade, job knowledge, skills, experience and internal equity within the team.

For sales roles, the posted range is Target Total Cash, meaning base salary plus target bonus at 100% goal achievement.

Accommodation requests only: contact the HR Direct Help Line at 877-612-7547, option 1, and ask for an HR Advisor.

Benefits

• A comprehensive benefits package.
• Possible participation in a bonus and a stock award program, as applicable.
• Health and wellbeing programs covering work, home and life beyond.
• A supportive culture for learning, growing your career and taking on challenges.
• Exposure to real business operations and strategic decisions.
• Hands-on work with enterprise data and analytics platforms.
• A chance to lead and present a project with measurable business impact.
• Mentoring from experienced operations, program management and analytics professionals.
• Experience working across several functions in a global technology organization.