Spring 2027 - AI & Data Analytics Intern
- On-site
- Internship
- Spring 2027
- MS
About this role
An internship at onsemi offers a dynamic opportunity to gain hands-on experience through real-world projects that drive innovation in the semiconductor industry. Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies, fostering both technical skill development and professional growth.
onsemi views internships as a strategic pipeline for entry-level career positions, providing a collaborative and inclusive environment where interns work alongside diverse teams and contribute to high-impact initiatives. The company’s commitment to sustainability, including its goal of achieving net-zero emissions by 2040, enables interns to engage in projects that align with global environmental priorities.
Key benefits include:
- Competitive compensation and medical benefits
- Flexible work hours aligned with academic schedules
- Access to Employee Resource Groups (ERGs) which foster a sense of belonging and provide opportunities for mentorship and community engagement
- Networking events, professional development workshops, and project showcases that build career readiness and visibility across the organization
Internship roles span multiple disciplines including engineering, business operations, data analytics, and finance, and are designed to align with onsemi’s strategic goals of innovation and workforce development. Structured programs such as rotational field sales and finance analyst tracks offer additional career pathways for interns transitioning into full-time roles.
Required Qualifications
- Currently pursuing a degree in Computer Science, Data Analytics, Information Systems, Engineering or a related field.
- Minimum requirement: Hands-on SQL experience, including writing queries to filter, validate, and transform data from multiple sources.
- Minimum requirement: Hands-on Power BI experience building business dashboards, including data modeling, visualizations, and performance measures that connect analysis to potential business outcomes and revenue-related metrics.
- Demonstrated project, internship, coursework, or portfolio experience converting semi-structured or messy data into decision-ready dashboards or business recommendations.
- Strong analytical and problem-solving skills, with comfort working through ambiguous business problems and incomplete information.
- Ability to communicate technical concepts clearly to business stakeholders and work effectively with cross-functional teams.
- Proficiency with Microsoft Excel, PowerPoint, and other productivity tools.
Preferred Skills
- Experience with Python or a similar language for data analysis, automation, or prototype development.
- Exposure to APIs, data pipelines, knowledge management systems, or enterprise data workflows.
- Strong interest in prompt engineering to transform legacy data into a trusted, chatbot-enabled internal platform.
- Strong interest in customer experience, operations, product management, or semiconductor industry workflows.
- Ability to synthesize complex information into clear, actionable insights and executive-ready summaries.
Successful Candidate Profile
- Curious, resourceful, and comfortable solving problems where the requirements or data are not perfectly defined.
- Able to translate business questions into user-friendly analysis that clearly communicates potential operational and revenue impact.
- Comfortable validating results with stakeholders, asking clarifying questions, and improving outputs through feedback.
- Balances experimentation with execution and can clearly explain assumptions, limitations, and next steps.
Eligibility Requirement
To be considered for this part-time internship, candidates must remain actively enrolled in a degree-seeking program throughout the internship period and be able to balance a part-time work schedule with their academic commitments. This position is specifically intended for candidates enrolled in a master’s degree program.