
2027 Data Analytics & Business Operations Spring Co-Op or Summer Intern- Bachelor's/Master's (Austin, TX)
Austin, TXFull-timeSeen 1mo agoSeen in employer's feed 2 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near Austin, TX, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
Applied Materials seeks a student intern to support strategic business operations, process improvement, and data analytics. The intern will analyze enterprise data and business processes, contribute to forecasting and operational excellence initiatives, and communicate findings to project teams and leadership. The role offers hands-on experience with analytics platforms and cross-functional collaboration in a global technology organization.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Who We Are
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
What We Offer
Location:
Austin,TX
You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits (https://hrportal.ehr.com/applied/) .
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.
Additional Information
Time Type:
Full time
Employee Type:
Intern / Student
Travel:
No
Relocation Eligible:
Yes
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. 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.
In addition, Applied endeavors to make our careers site (https://www.appliedmaterials.com/us/en/careers.html) accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [email protected], or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
How this job compares
Set against the 2,444 open Data Analytics jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This postingNot listed
- Texas median$115–195K/yr92 salary ranges
- US median$24–30/hr242 hourly ranges
- Openings
- Olive Jobs lists 145 open Data Analytics jobs in Texas and 2,444 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in Texas
- Deloitte24 open
- JPMorgan Chase11 open
- PwC9 open
- Experience
- Data Analytics postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 7 years (1,916 postings).
- Education
- 1,108 of the 2,444 open Data Analytics jobs (45%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.