Data Analytics Intern: Real Projects and Mentorship

Skyworks Solutions, Inc; Greensboro (NC); On-site; USD 40,000 - 68,000; Full time

Benefits offered by this job

Mentoring

Networking events

Final presentation to business leaders

Job summary

Skyworks Solutions, Inc. is offering Data Analytics Internship opportunities in the Advanced Cellular business groups. Interns will work on real data projects, gain exposure to upper management, and have opportunities for full-time roles based on performance.

Responsibilities include data collection, cleaning, EDA, model development, and cross-functional collaboration, with mentoring, networking events, and final presentations to business leaders as part of the program.

Qualifications

• Pursuing a degree in Data Science, CS, Statistics, Math, Engineering or related field.
• Basic programming knowledge in Python or R.
• Familiarity with data analysis libraries (pandas, NumPy, scikit-learn).
• Understanding of statistics and ML fundamentals.
• Strong problem-solving and communication skills.

Responsibilities

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Support the development and validation of predictive models and ML algorithms.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Create clear visualizations and reports to communicate findings effectively.
• Document methodologies and maintain data pipelines and workflows.

Skills

Python

R

Data analysis

Machine learning basics

Communication

Teamwork

Education

Data Science

Computer Science

Statistics

Mathematics

Engineering

Tools

SQL

PowerBI

DataBricks

Spotfire

Job description

Skyworks Solutions, Inc. is offering Data Analytics Internship opportunities in the Advanced Cellular business groups. Interns will work on real data projects, gain exposure to upper management, and have opportunities for full-time roles based on performance.

Responsibilities include data collection, cleaning, EDA, model development, and cross-functional collaboration, with mentoring, networking events, and final presentations to business leaders as part of the program.