Manufacturing Data & Systems Intern – Mojave (Summer 2027)

Stratolaunch; California; On-site; USD 45,000 - 52,000; Full time

Benefits offered by this job

Paid maternity and parental leave

401(k) matching up to 50%

Job summary

Stratolaunch is seeking a Manufacturing Systems & Data Intern for Summer 2027 in Mojave, CA. You will collect and organize production data, develop basic reports and dashboards, and support improvements to manufacturing processes and digital tools.

The role involves collaboration with operations, engineering, quality, and IT teams. Ideal candidates are pursuing an engineering degree, with strong Excel skills and interest in data-driven process improvement.

Qualifications

• Sophomore, Junior, or Senior going to Graduate School working on an engineering degree
• Strong attention to detail and interest in data, manufacturing, and process improvement
• Comfortable using Microsoft Excel, including formulas, pivot tables, charts, and data organization
• Strong communication, organization, and problem-solving skills
• Able to work independently and collaborate with cross-functional teams

Responsibilities

• Data Collection & Management: Gather production, quality, downtime, labor, inventory, and equipment data from manufacturing teams and existing systems.
• Create basic reports, charts, and dashboards using Excel, Power BI, or similar tools.
• Help track manufacturing metrics such as output, scrap, downtime, cycle time, and quality performance.
• Assist with maintaining data files, reports, and documentation.
• Support the documentation of manufacturing workflows and data-collection processes.

Skills

Excel proficiency

Data analysis

Attention to detail

Cross-functional collaboration

Communication

Education

Sophomore/Junior/Senior pursuing engineering degree

Tools

Power BI

Tableau

SQL

Python

Job description

Stratolaunch is seeking a Manufacturing Systems & Data Intern for Summer 2027 in Mojave, CA. You will collect and organize production data, develop basic reports and dashboards, and support improvements to manufacturing processes and digital tools.

The role involves collaboration with operations, engineering, quality, and IT teams. Ideal candidates are pursuing an engineering degree, with strong Excel skills and interest in data-driven process improvement.