Logistics Data Analyst Intern Jobs in Portland, OR

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.

Qorvo's Internship Program is designed for college students currently enrolled in an accredited Bachelor's, Master's, or PhD program. Qorvo offers real work experience, exposure to upper management, and the opportunity to pursue full-time opportunities, as available. 

Qorvo's Internship Program offers:

• Challenging, skill-building assignments
• Mentoring and coaching from industry experts
• Launch & Learns and other learning opportunities
• Collaborative team-based work environment
• Networking and social events
• Final presentation to business leaders

Summary

We are seeking a motivated Summer Intern to support data, analytics, and AI initiatives within the Sales organization. The intern will work with a variety of business and technical teams to improve data quality, support analytics solutions, and explore AI capabilities using platforms such as Databricks. This role offers hands-on experience working with enterprise data, business processes, reporting, and emerging AI technologies while contributing to projects that support business decision-making.

Responsibilities may include:

• Monitor and enhance data quality and integrity across business systems and datasets.
• Assist with data analysis, validation, and process improvement initiatives.
• Collaborate with business users and technical teams to identify opportunities to improve data accuracy and efficiency.
• Support the development and evaluation of AI capabilities within Databricks, including chatbot and generative AI solutions.
• Assist with reporting, data modeling, and analytics projects that support business operations.
• Document processes, findings, and recommendations to support ongoing improvements.

Qualifications

• Currently enrolled in a Bachelor's or Master's degree program in Data Analytics, Data Science, Computer Science, Engineering, Information Systems, Business Analytics, or a related field.
• Familiarity with SQL, Python, or data analysis tools is preferred.
• Experience using business intelligence tools such as Power BI or Tableau is preferred.
• Experience cleaning data, data transformation or validation is preferred
• Experience with cloud-based analytics platforms such as Databricks, Snowflake, Azure or AWS is preferred.
• Strong analytical and problem-solving skills.
• Attention to detail and commitment to data accuracy.
• Strong communication and organizational skills.
• Ability to work independently and collaboratively in a team environment.

This position is not eligible for visa sponsorship by the Company.

Competitive hourly pay commensurate with experience: $31/hr - $42/hr (subject to change dependent on physical location) 

Posted salary ranges are made in good faith. Qorvo reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as external competitiveness and internal comparability. 

Base compensation is one element of Total Rewards offered at Qorvo. More information on the Total Rewards package can be shared upon request. 

  MAKE A DIFFERENCE AT QORVO   

 We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets - we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.

We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability.