Spring 2027 - Data Analyst Intern

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.

The Internal Audit Technology & Data Intern will support the department's automation, data analytics, artificial intelligence, and broader risk technology initiatives. This role is intended for a student pursuing a degree in Computer Science, Data Engineering, Artificial Intelligence, Data Analytics, Information Systems, or a related field.

The intern will work collaboratively with Internal Audit's data engineers, automation professionals, and senior auditors to help design and develop technology solutions that improve how the department accesses data, analyzes risk, and delivers assurance. The intern will not be responsible for performing audits but may assist with the design and implementation of data analytics used within audit engagements.

Qualifications - External

Requirements :

• Basic knowledge of programming or scripting concepts, such as Python, SQL, JavaScript, or a comparable language.
• Basic understanding of data analytics, data preparation, databases, or data visualization.
• Familiarity with Microsoft technologies, such as Excel, Power BI, Power Automate, Power Apps, Azure, Microsoft Fabric, or Microsoft Copilot.
• Interest in automation, artificial intelligence, data engineering, analytics, risk management, or internal audit technology.
• Ability to learn new tools and technologies quickly. Strong analytical, problem-solving, and organizational skills.
• Effective written and verbal communication skills. Ability to work collaboratively and receive guidance from both technical and business professionals.
• Attention to detail and commitment to producing accurate, well-documented work.
• Ability to manage multiple assignments and communicate progress, questions, and potential challenges.

Preferred Qualifications :

• Experience through coursework, personal projects, internships, or student organizations involving software development, data analytics, artificial intelligence, or data engineering. Exposure to Python, SQL, APIs, relational databases, Git/GitHub, or application development.
• Experience developing dashboards or visualizations using Power BI or similar tools.
• Familiarity with data cleaning, validation, transformation, or basic data modeling.
• Interest in applying technology and analytics to business processes, risk management, compliance, or assurance activities.

To be considered for an internship, you must be currently enrolled in a degree seeking program. This position is specifically looking for someone who will be enrolled in an undergraduate or graduate degree in Computer Science, Data Engineering, Artificial Intelligence, Data Analytics, Information Systems, or a related technical field.

Here at onsemi we take great pride in our internship program and the efforts we take to provide students with hands-on industry experience. We provide competitive pay medical benefits, various networking event opportunities, and flexible hours based on school schedule.

Qualifications - External

Requirements :

• Basic knowledge of programming or scripting concepts, such as Python, SQL, JavaScript, or a comparable language.
• Basic understanding of data analytics, data preparation, databases, or data visualization.
• Familiarity with Microsoft technologies, such as Excel, Power BI, Power Automate, Power Apps, Azure, Microsoft Fabric, or Microsoft Copilot.
• Interest in automation, artificial intelligence, data engineering, analytics, risk management, or internal audit technology.
• Ability to learn new tools and technologies quickly. Strong analytical, problem-solving, and organizational skills.
• Effective written and verbal communication skills. Ability to work collaboratively and receive guidance from both technical and business professionals.
• Attention to detail and commitment to producing accurate, well-documented work.
• Ability to manage multiple assignments and communicate progress, questions, and potential challenges.

Preferred Qualifications :

• Experience through coursework, personal projects, internships, or student organizations involving software development, data analytics, artificial intelligence, or data engineering. Exposure to Python, SQL, APIs, relational databases, Git/GitHub, or application development.
• Experience developing dashboards or visualizations using Power BI or similar tools.
• Familiarity with data cleaning, validation, transformation, or basic data modeling.
• Interest in applying technology and analytics to business processes, risk management, compliance, or assurance activities.

To be considered for an internship, you must be currently enrolled in a degree seeking program. This position is specifically looking for someone who will be enrolled in an undergraduate or graduate degree in Computer Science, Data Engineering, Artificial Intelligence, Data Analytics, Information Systems, or a related technical field.

Here at onsemi we take great pride in our internship program and the efforts we take to provide students with hands-on industry experience. We provide competitive pay medical benefits, various networking event opportunities, and flexible hours based on school schedule.

• Assist in identifying, designing, developing, testing, and documenting automation and analytics use cases for Internal Audit.
• Support the department's data-enablement journey by helping prepare, organize, transform, and validate data from multiple sources.
• Assist with the development of scripts, applications, dashboards, reports, and other technology solutions that improve audit efficiency and risk visibility.
• Support the exploration and responsible use of artificial intelligence within Internal Audit processes.
• Participate in the design and implementation of data analytics used within audit engagements under the supervision of data engineers and senior auditors.
• Help translate business and risk-related needs into practical technical solutions.
• Assist with maintaining technical documentation, user instructions, data definitions, and development standards.
• Test automation solutions and analytics for accuracy, completeness, usability, and reliability.
• Collaborate with Internal Audit team members and other business or technology stakeholders.
• Perform research and support other automation, data, technology, and risk-related initiatives as assigned.
• Assist in identifying, designing, developing, testing, and documenting automation and analytics use cases for Internal Audit.
• Support the department's data-enablement journey by helping prepare, organize, transform, and validate data from multiple sources.
• Assist with the development of scripts, applications, dashboards, reports, and other technology solutions that improve audit efficiency and risk visibility.
• Support the exploration and responsible use of artificial intelligence within Internal Audit processes.
• Participate in the design and implementation of data analytics used within audit engagements under the supervision of data engineers and senior auditors.
• Help translate business and risk-related needs into practical technical solutions.
• Assist with maintaining technical documentation, user instructions, data definitions, and development standards.
• Test automation solutions and analytics for accuracy, completeness, usability, and reliability.
• Collaborate with Internal Audit team members and other business or technology stakeholders.
• Perform research and support other automation, data, technology, and risk-related initiatives as assigned.