Business & Data Analytics Internship - Summer 2026

About our group:

The Advanced ML Engineering – Industrial AI Development Group develops transparent, reliable machine learning capabilities that strengthen complex, high-volume semiconductor manufacturing. We emphasize interpretable models, actionable insights, and effective human-in-the-loop decision support. Our team focuses not only on model performance, but also on quantifying business impact and operational value.

About the role - you will:

• Conduct business and operational analysis to quantify how Virtual Metrology (VM) models affects cycle time, tool availability, throughput, and overall factory efficiency.
• Build analytical models to estimate cost savings, risk reduction, and ROI generated by VM at scale.
• Evaluate metrology workflows to identify where VM can reduce bottlenecks or improve decision speed.
• Collaborate with engineering teams to map current vs. VM-enabled processes, highlighting opportunities for optimization and automation.
• Translate technical outputs (prediction accuracy, uncertainty, sampling strategies) into business-relevant insights for leadership.
• Prepare reports and presentations that clearly communicate findings, scenarios, and recommendations.

About you:

• Effective communication skills, with the ability to translate technical information into clear business recommendations.
• Curiosity, initiative, and comfort working across engineering, operations, and business teams.
• Demonstrated interest in manufacturing systems, automation, and data-driven business strategy.

Your experience includes:

• Strong analytical and problem-solving skills, with experience in business analysis, operations research, or data analytics.
• Familiarity with semiconductor or high-volume manufacturing, including process flows and metrology concepts.
• Ability to analyze both technical performance metrics and their business implications.
• Proficiency in tools such as Python, SQL, or statistical analysis packages.
• Currently pursuing a Bachelor’s or Master’s in Industrial Engineering, Data Science, Operations Research, Business Analytics, or a related field with enrollment in classes in Fall 2026.

You may also have:

• Experience with predictive modeling or manufacturing analytics (e.g., virtual metrology, anomaly detection).
• Understanding of cost modeling, ROI estimation, or operational efficiency analysis.
• Background in industrial engineering, factory optimization, or supply chain analytics.
• Familiarity with KPI development and dashboard creation for technical/business metrics.

Location:

Normandale, MN or Remote United States

Our Normandale campus spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on-site café, or if you prefer, you can drive to one of many restaurants just minutes away. Need to grab a gift over lunchtime? Shopping is abundant in the area. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments, and group workouts. Looking for something more laid back? Reset in one of our meditation rooms, or simply take a walk around our indoor walking path. On-site cultural festivals, celebrations, and community volunteer opportunities also abound. 

Seagate is able to offer virtual employment for this position in the following states: AL, AZ, CO, CT, FL, GA, ID, IL, IN, KS, KY, MA, MD, MI, MN, MO, NC, NH, NJ, NM, NY, NV, OH, OK, OR, PA, SC, SD, TN, TX, UT, VA, WA, WI, WY. 

The estimated base wage range for this position is $24 - $35/hr. The individual base wage is based on work location and additional factors, including job-related skills, experience, and relevant education or training. Seagate offers comprehensive benefits to its eligible Interns, including, but not limited to, medical, dental, vision, and participation in the employee stock purchase plan.  Seagate also offers Interns 12 paid holidays and a minimum of 48 hours of paid sick leave.  The benefits for this position are based on a 24 to 40-hour-per-week schedule for a full calendar year and may differ depending on work location and tenure with the Company.

Location: Normandale, United States, Remote United States
Travel: None