Data Analyst Intern

Summary: NetApp’s Enterprise Architecture, Solutions & Intelligence (EASI) organization enables enterprise-wide transformation by combining architecture leadership, solution strategy, and data-driven intelligence. As a Data Analyst Intern, you will help enable post-sales organizations with curated, governed data that supports decision-making at scale. Responsibilities: - Coordinate with multiple post-sales business functions (e.g., Customer Success, Support, Professional Services) to understand goals, data needs, and reporting workflows - Participate in requirements workshops, clarify ambiguous requests, and drive alignment on KPI definitions and decision use-cases - Communicate progress, dependencies, and tradeoffs clearly with both technical and non-technical stakeholders - Convert business requirements into clear functional designs and delivery-ready artifacts, including: KPI/metric definitions, calculation logic, and business rules, Dashboard/report requirements (filters, drill paths, usability needs), Security and access requirements (e.g., role/region-based visibility), Data refresh needs, data lineage assumptions, and validation plans, Acceptance criteria and test scenarios - Partner with data engineering / analytics engineering to confirm feasibility, reduce rework, and ensure scalable implementation - Create and maintain data models aligned to post-sales processes and analytics best practices (fact/dimension modeling, conformed dimensions where applicable) - Support data quality and metric integrity through reconciliation, anomaly checks, and root-cause analysis of reporting discrepancies - Enable business functions with trusted datasets, semantic models, and documentation so they can build dashboards and visualizations in Power BI - Provide guidance on best practices for using shared datasets, consistent KPI interpretation, and governance expectations - Support adoption by creating how-to documentation and lightweight enablement sessions as needed - Contribute to AI Agent and conversational analytics initiatives that allow stakeholders to ask questions in natural language and receive governed, explainable answers - Help define intents and analytic use-cases, identify the right datasets/metrics to ground responses, and document guardrails (approved definitions, exclusions, confidence checks) - Test and validate AI outputs for accuracy, consistency with metric definitions, and usefulness for business decisions - Work in an agile delivery model (standups, sprint planning, retrospectives) and maintain clear project documentation (requirements, designs, definitions, and change notes) - Present insights, designs, and outcomes in a structured and actionable way Required Qualifications: - Must be enrolled in an educational or professional program through summer 2026 or later Required Skills: Data Modeling, Power BI, Stakeholder Partnership Important Skills: AI Agents, Conversational Analytics Nice-to-Have Skills: Agile Delivery, Analytical Thinking, Documentation