
Strategic Pricing & AI Analytics Intern (Summer 2027)
Austin, TXFull-time$20–40/hrPosted 1mo agoStill listed today
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Job overview
The Strategic Pricing & AI Analytics Intern will support GlobalFoundries’ Strategic Finance & Operations organization on projects involving pricing, data analytics, industrial engineering and artificial intelligence. The intern will analyze business data, improve reporting and decision-support tools, and identify opportunities to apply AI and automation in pricing workflows. The program offers mentorship, growth-focused assignments, professional development and networking opportunities.
Skills & qualifications
Skills
Qualifications
Full job description
About GlobalFoundries GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power-efficient and high-performance solutions for high-growth markets. GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity and sustainability. For more information, visit www.gf.com.
Internship Program Overview: Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Our goal is to provide students with a meaningful work experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GF, you’ll experience one-on-one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives.
Summary of Role: The Strategic Pricing & AI Analytics Intern will join GlobalFoundries’ Strategic Finance & Operations organization and support projects at the intersection of pricing, data analytics, industrial engineering and artificial intelligence. The intern will work with the Pricing team and cross-functional partners to analyze business processes, improve reporting and decision-support tools, and identify opportunities to use AI and automation within pricing workflows.
Essential Responsibilities include:
- Analyze pricing, customer, product, quote and market data to identify trends, exceptions and business insights.
- Document current pricing and reporting workflows and identify opportunities to simplify, standardize or automate manual activities.
- Apply industrial engineering methods such as process mapping, root cause analysis, workflow optimization and process-performance measurement.
- Support the development of AI-enabled tools, analytics or structured workflows that improve pricing analysis and decision support.
- Build or enhance dashboards and reporting solutions using tools such as Power BI, Excel or similar business intelligence platforms.
- Collaborate with stakeholders across Pricing, Product Finance, Sales, Strategic Finance and Market Intelligence.
- Translate analytical findings into clear recommendations and visual summaries, and present project progress and final recommendations to Strategic Finance & Operations leaders.
Other Responsibilities:
- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
Required Qualifications:
- Education – At least a sophomore at time of application and actively pursuing a Bachelor’s degree in Industrial Engineering, Operations Research, Analytics, Data Science, Computer Science, Finance, Economics, Business or related field through an accredited degree program during the time of internship.
- Must have at least an overall 3.0 GPA and be in good academic standing.
- Language Fluency - English (Written & Verbal)
- Foundational knowledge of data analysis, statistics, process improvement or operations research.
- Proficiency with Microsoft Excel and PowerPoint.
- Strong analytical and structured problem-solving skills, with the initiative to navigate open-ended or ambiguous business problems.
- Ability to work at least 40 hours per week during the internship.
Preferred Qualifications:
- Prior related internship or co-op experience
- Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
- Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.
- Project management skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.
- Strong written and verbal communication skills
- Strong planning & organizational skills
- Rising senior preferred; exceptional rising juniors with relevant coursework or project experience will also be considered.
- Coursework or project experience in artificial intelligence, machine learning, optimization, simulation, statistics or operations research.
- Experience using generative AI tools or developing AI-assisted analytical workflows.
- Experience working with large datasets, combining information from multiple sources or implementing data-quality checks.
- Coursework, project experience or prior internship experience in financial analysis, pricing, forecasting, supply chain, operations or market research.
- Interest in semiconductors, advanced manufacturing, technology or strategic finance.
#InternshipProgramUS
Expected Salary Range $20.00 - $40.00
Expected Salary Range $0.00 - $0.00 The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at [email protected] and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law
How this job compares
Set against the 2,444 open Data Analytics jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$20–40/hr
- US median$24–30/hr242 hourly ranges
This range's midpoint, $30/hr, is 3% above the US median midpoint ($29/hr) — in the middle half of Data Analytics hourly ranges across the US.
- 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
- This posting asks for a bachelor's degree; 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.
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