Data Analytics Engineer Intern - Summer 2027

NXP Semiconductors

Town of Montana (WI)

On-site

USD 27,552,000 - 41,328,000

Full time

6 days ago
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Job summary

NXP Semiconductors is offering a data analytics internship/co-op in Austin to support engineering project planning and performance analytics. You will help develop dashboards, automate data collection, and deliver data-driven insights across engineering and operations teams.

The role emphasizes collaborating with cross-functional groups, presenting clear analyses, and learning new technologies while contributing to meaningful projects in a fast-paced environment.

Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
  • Strong analytical and problem-solving skills.
  • Experience with data analysis, software development, automation, or engineering projects through coursework, internships, or research.
  • Familiarity with Python, SQL, Excel, Power BI, or similar tools is a plus.
  • Ability to work effectively in a cross-functional team environment.
  • Strong written and verbal communication skills in English.
  • Self-motivated and eager to learn new technologies and business processes.

Responsibilities

  • Support engineering project planning and execution through data analysis, metrics, and reporting.
  • Develop dashboards, reports, and tools that improve visibility into project status, resource utilization, and engineering performance.
  • Analyze engineering and project data to identify trends and support effort and resource planning.
  • Assist with data collection, validation, and process improvement activities.
  • Develop automation solutions and scripts to improve efficiency and reduce manual work.
  • Collaborate with engineering, project management, and operations teams to deliver data-driven insights.
  • Maintain documentation, analytics models, and project-related processes.

Education

Bachelor's or Master's in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Industrial Engineering, or related field

Tools

Python
SQL
Excel
Power BI

Job description

Locations

Austin (Oakhill, Office)

Time Type

Full time

Job Responsibilities
  • Support engineering project planning and execution through data analysis, metrics, and reporting.
  • Develop dashboards, reports, and tools that improve visibility into project status, resource utilization, and engineering performance.
  • Analyze engineering and project data to identify trends and support effort and resource planning.
  • Assist with data collection, validation, and process improvement activities.
  • Develop automation solutions and scripts to improve efficiency and reduce manual work.
  • Collaborate with engineering, project management, and operations teams to deliver data-driven insights.
  • Maintain documentation, analytics models, and project-related processes.
Requirements / Qualifications
  • Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
  • Strong analytical and problem-solving skills.
  • Experience with data analysis, software development, automation, or engineering projects through coursework, internships, or research.
  • Familiarity with Python, SQL, Excel, Power BI, or similar tools is a plus.
  • Ability to work effectively in a cross-functional team environment.
  • Strong written and verbal communication skills in English.
  • Self-motivated and eager to learn new technologies and business processes.

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era, or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

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