About The Position

The AI & Data Analytics Intern will support onsemi’s Power Solutions Group Marketing organization on an initiative to improve business visibility, data quality, and decision-making across product lines. Using SQL, Power BI, and applied AI, the intern will turn legacy enterprise data into actionable insights tied to business outcomes and revenue-related metrics. The primary project is to create a working prototype or proof of concept that consolidates fragmented legacy sources into a reliable view of key business indicators. The intern will establish metric definitions, identify data gaps, build intuitive views for trend analysis and performance monitoring, and assess how AI could help leaders query data and surface insights. The work will include recommendations for governance, data refresh, and long-term scalability. This is a part-time internship intended for candidates enrolled in a master’s degree program. Candidates must remain actively enrolled in a degree-seeking program throughout the internship and balance the work schedule with their academic commitments. The posting describes onsemi internships as hands-on opportunities to contribute to real-world projects, develop technical and professional skills, and work alongside diverse teams. The company states a goal of achieving net-zero emissions by 2040.

Requirements

  • Currently pursuing a degree in Computer Science, Data Analytics, Information Systems, Engineering, or a related field.
  • Hands-on SQL experience, including writing queries to filter, validate, and transform data from multiple sources.
  • Hands-on Power BI experience building business dashboards, including data modeling, visualizations, and performance measures connecting analysis to potential business outcomes and revenue-related metrics.
  • 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, including comfort with 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.
  • Must remain actively enrolled in a degree-seeking program throughout the internship and be able to balance a part-time work schedule with academic commitments.
  • Must be enrolled in a master’s degree program.

Nice To Haves

  • 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.
  • Curiosity, resourcefulness, and comfort solving problems where requirements or data are not perfectly defined.
  • Ability to translate business questions into user-friendly analysis that clearly communicates potential operational and revenue impact.
  • Comfort validating results with stakeholders, asking clarifying questions, and improving outputs through feedback.
  • Ability to balance experimentation with execution and clearly explain assumptions, limitations, and next steps.

Responsibilities

  • Build a Power BI dashboard for leaders to monitor key business indicators and identify performance trends, risks, and opportunities.
  • Collect, consolidate, clean, and normalize legacy data from multiple internal sources into a structured, maintainable data model.
  • Analyze data quality, governance, process, and system gaps affecting the accuracy, consistency, and usability of business-performance metrics.
  • Define metrics, validation rules, and exception flags to improve confidence in dashboard insights.
  • Partner with cross-functional stakeholders to validate requirements and outputs, document assumptions and limitations, and recommend sustainable governance and handoff processes.
  • Assess how AI can help leaders query data and surface insights, and recommend approaches for governance, data refresh, and long-term scalability.

Benefits

  • Competitive compensation and medical benefits.
  • Flexible work hours aligned with academic schedules.
  • Access to Employee Resource Groups (ERGs), which foster belonging and provide mentorship and community engagement opportunities.
  • Networking events, professional development workshops, and project showcases.
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