Data Analytics Intern – Audit Tech & Automation

re-zoo-me

Scottsdale (AZ)

Remote

USD 25,000 - 39,000

Full time

5 days ago
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Benefits offered by this job

Competitive compensation
Medical benefits
Flexible hours
ERGs
Networking events

Job summary

onsemi's Internal Audit Technology & Data Internship offers hands-on experience across automation, data analytics, and risk technology initiatives. You will learn from data engineers and auditors while contributing to data access, risk analysis, and assurance design.

Open to students pursuing CS, data engineering, AI, or related fields; internship may lead to full-time opportunities and emphasizes collaboration, growth, and exposure to cutting-edge Microsoft and analytics tools.

Qualifications

  • Pursuing a degree in computer science, data engineering, AI, data analytics, or information systems.
  • Basic programming or scripting knowledge (Python, SQL, JavaScript).
  • Fundamental data analytics, databases, or data visualization understanding.
  • Familiarity with Microsoft tech: Excel, Power BI, Power Automate, Power Apps, Azure.
  • Strong analytical, communication, and teamwork skills.

Responsibilities

  • Assist in designing and developing automation and analytics use cases for Internal Audit.
  • Help prepare, transform, and validate data from multiple sources.
  • Develop dashboards, reports, and tech solutions to improve audit efficiency.
  • Support AI exploration within audit processes.
  • Document data definitions and development standards.
  • Collaborate with data engineers, auditors, and stakeholders.

Skills

Python
SQL
JavaScript
Data analytics
Power BI
Excel
APIs
Git/GitHub
Automation
Data engineering

Education

Bachelor's or higher in Computer Science / Data related field

Tools

Power BI
Excel
Power Automate
Power Apps
Azure
Microsoft Fabric
Copilot
Git/GitHub
APIs

Job description

onsemi's Internal Audit Technology & Data Internship offers hands-on experience across automation, data analytics, and risk technology initiatives. You will learn from data engineers and auditors while contributing to data access, risk analysis, and assurance design.

Open to students pursuing CS, data engineering, AI, or related fields; internship may lead to full-time opportunities and emphasizes collaboration, growth, and exposure to cutting-edge Microsoft and analytics tools.

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