Intern - Data Analyst

NetApp, Inc.•Durham, NC

About The Position

NetApp is hiring an intern to contribute to data analysis and analytics projects across its teams. The intern will work with data, analytics, and business teams to turn complex data into useful insights, with assignments that may involve data analysis, modeling, business intelligence, visualization, data quality, predictive analytics, automation, and AI-enabled analytics. The role offers hands-on work with real business data, mentorship, resources, and feedback while exploring how analytics and emerging technologies can support problem-solving and decision-making. This is a pipeline position for internship opportunities across multiple teams; recruiting will continue as individual teams determine project and hiring needs. The internship lasts 10–12 weeks during summer 2027, with start dates in May or June. Interns must remain enrolled in an educational or professional program through summer 2027. Candidates pursuing a bachelor's or master's degree in a related field are encouraged to apply.

Requirements

Experience with data analysis through coursework, academic projects, research, internships, or other hands-on experience.
Familiarity with SQL.
Exposure to an analytical or programming language such as Python or R.
Understanding of data, statistical, or analytical concepts.
Strong analytical, problem-solving, and critical-thinking skills.
Strong communication and collaboration skills, including the ability to explain analytical findings to different audiences.
Must be enrolled in an educational or professional program through summer 2027.

Nice To Haves

Familiarity with data visualization or business intelligence tools such as Power BI or Tableau.
Coursework, projects, or experience in statistical analysis, data modeling, ETL/data preparation, predictive analytics, machine learning, data quality, or visualization.
Curiosity about AI and emerging technologies, with exposure through coursework, projects, or hands-on use.
Pursuing a bachelor's or master's degree in Data Science, Data Analytics, Statistics, Computer Science, Information Systems, Mathematics, Economics, Industrial Engineering, Business Analytics, or a related field.

Responsibilities

Collect, clean, validate, and analyze data from multiple sources.
Use analytical methods to identify trends, patterns, anomalies, and opportunities.
Query and analyze data using tools and languages such as SQL, Python, or R.
Create dashboards, reports, and visualizations that make complex information easier to understand and act on.
Develop or support data models, metrics, and reusable datasets.
Assist with data quality, reconciliation, and root-cause analysis.
Build or improve automated data preparation, analysis, or reporting workflows.
Partner with business and technical teams to understand analytical needs and translate them into data solutions.
Present insights and recommendations to technical and non-technical stakeholders.