Job Summary
We invest heavily in new talent because fresh perspectives help us innovate and elevate what’s possible. As AI transforms how organizations use and manage their data, NetApp is helping shape the next generation of intelligent data infrastructure across cloud, hybrid, and on-premises environments.
As an intern, you’ll be encouraged to bring forward new ideas, take ownership of meaningful work, and drive results alongside a team that succeeds together, while receiving the mentorship, resources, and feedback you need to grow.
As a Data Analyst Intern, you’ll work alongside data, analytics, and business teams to transform complex data into meaningful insights. Depending on your team and project assignment, you may contribute to areas such as data analysis, data modeling, business intelligence, visualization, data quality, predictive analytics, automation, and AI-enabled analytics.
You’ll gain hands-on experience working with real business data while learning how analytics and emerging technologies can be used to solve problems, uncover opportunities, and support better decision-making.
What You’ll Do
- 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.
Example Project Work Intern projects vary based on team priorities and business needs and may include:
- Data Modeling & Business Intelligence: Create data models, metrics, or curated datasets that support dashboards and self-service analytics.
- Data Quality & Governance: Analyze data quality, identify discrepancies, validate metrics, and improve the accuracy and usability of data.
- Predictive Analytics: Apply statistical or machine-learning techniques to explore forecasting, segmentation, trends, or other business problems.
- Analytics Automation: Develop reusable scripts or workflows that automate data preparation, analysis, or recurring reporting.
- AI-Enabled Analytics: Explore how AI tools or conversational analytics can help users interact with data and validate results for accuracy.
- Visualization & Insights: Build dashboards or analytical views that help teams understand performance, identify trends, and make data-informed decisions.
Job 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.
- Familiarity with data visualization or business intelligence tools such as Power BI or Tableau.
- Strong analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, with the ability to explain analytical findings to different audiences.
- Coursework, projects, or experience in areas such as statistical analysis, data modeling, ETL/data preparation, predictive analytics, machine learning, data quality, or visualization is a plus.
- Curiosity about AI and emerging technologies, with exposure through coursework, projects, or hands-on use considered a plus.
You don’t need experience in every technology or area listed above. We value analytical thinking, curiosity, strong communication, problem-solving skills, and the ability to connect data and business context to help solve meaningful problems.
Additional Details:
- Job Posting Info: This is a pipeline position used to fill internship opportunities across multiple teams, and recruiting will continue as individual teams identify project and hiring needs.
- Program Details: This is a 10–12 week summer internship, with start dates in May or June 2027.
Education & Experience
- Must be enrolled in an educational or professional program through the summer of 2027.
- Candidates 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 are encouraged to apply.
Compensation:
Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.
