Entry Level Insurance Data Analytics Jobs in Phoenix, AZ

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.

• Currently pursuing a degree in Computer Science, Data Analytics, Information Systems, Engineering or a related field.
• Proficiency in Python, SQL, or similar programming languages for data analysis, automation, or prototype development.
• Experience working with semi-structured, or messy datasets, including cleaning, joining, validating, and transforming data.
• Demonstrated coursework, project experience, or practical interest in AI, machine learning, natural language processing, automation, or data analytics.
• 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 Power BI, Tableau, or other business intelligence and data visualization tools.
• Exposure to APIs, data pipelines, knowledge management systems, or enterprise data workflows.
• Familiarity with prompt engineering, retrieval-augmented generation, semantic search, or practical generative AI use cases.
• Interest in customer experience, operations, product management, or semiconductor industry workflows.
• Ability to synthesize complex information into clear, actionable insights and executive-ready summaries. 

The AI & Data Analytics Intern will support the Power Solutions Group Marketing organization on a high-priority initiative to improve product ownership visibility, data quality, and operational efficiency across product lines while helping identify and address root causes of organizational and enterprise data structure challenges. The intern will help design and prototype an AI-enabled internal tool that allows employees to quickly identify the correct Product Line Manager or Applications Manager based on product family, part number, or related ownership attributes. In addition to prototype development, the intern will evaluate the underlying process, data governance, and ownership model gaps contributing to the issue and recommend operationalized solutions that can be scaled beyond the initial proof of concept. This role offers hands-on exposure to enterprise data challenges, AI-enabled workflow improvement, and cross-functional problem solving in a semiconductor business environment.

The primary project will focus on building a working prototype or proof of concept for an ownership lookup and recommendation tool. The tool should help users resolve ownership questions more efficiently by consolidating fragmented data sources, applying structured matching logic, identifying gaps or conflicts, and presenting results with clear confidence indicators and exception handling. The project will also include root-cause analysis of the organizational, process, and enterprise data structure issues that create ownership ambiguity, along with practical recommendations for operationalizing a sustainable long-term solution.

Key Responsibilities:

• Design and prototype an AI-enabled ownership resolution tool that identifies the appropriate Product Line Manager or Applications Manager by product family, part
  number, or related ownership attributes.
• Collect, consolidate, clean, and normalize ownership data from internal sources into a structured, maintainable data model.
• Analyze root causes of ownership ambiguity, including gaps in data governance,source-of-truth alignment, process ownership, organizational structure, and 
  enterprise system connectivity.
• Develop search, matching, recommendation logic, confidence indicators, and exception flags to improve ownership lookup accuracy and handle ambiguous or
  conflicting data.
• Build analytics or dashboard views to track ownership coverage, unresolved mappings, data quality issues, root-cause themes, and prototype performance.
• Partner with cross-functional stakeholders to validate requirements and outputs, then document prototype logic, limitations, operationalized recommendations, governance improvements, and handoff requirements for future scaling.