The Enterprise Data & Analytics (EDA) organization at NetApp is seeking a highly motivated and business-focused Analyst to build and support enterprise data, analytics, automation, and AI-driven solutions. The role will partner with business and IT stakeholders to develop Semantic Models, data products, and insights that enable data-driven decision-making across Operations.
The ideal candidate will have strong experience in analytics, data management, Power BI, SQL, and modern cloud data platforms. A good understanding of Supply Chain, Procurement, Logistics, or Manufacturing operations, including key business processes and KPIs, is a significant advantage.
Key Responsibilities
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Develop and maintain Power BI semantic models and reports
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Perform data extraction, cleansing, transformation, and analysis.
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Build and support data pipelines and integrations across enterprise platforms.
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Develop AI-enabled solutions, automation workflows, and analytics use cases.
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Ensure data quality, governance, and consistency across reporting solutions.
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Collaborate with business stakeholders to translate requirements into scalable analytics solutions.
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Document business processes, data flows, and technical specifications.
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Stay current with emerging trends in Analytics, Data Engineering, Generative AI, and Cloud Technologies.
Technical Skills
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Hands-on experience with Power BI development, dashboard design, and semantic modelling (PL-300 certification preferred).
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Strong SQL, Python and data analysis skills with experience in Snowflake, Oracle, or cloud data platforms.
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Experience with Data Engineering, ETL/ELT pipelines, data modelling, and data integration concepts.
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Hands-on experience with Power Query, Power Automate, and workflow automation.
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Familiarity with Generative AI (Gen AI) tools and enterprise AI platforms.
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Experience building or supporting AI Agents (Agentic AI), conversational analytics, or intelligent automation solutions.
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Understanding of Machine Learning (ML) models, predictive analytics, and AI-driven decision intelligence use cases.
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Knowledge of APIs, VBA, Office Scripts, or other automation technologies is desirable.
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Understanding of data governance, data quality, and metadata management concepts.
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Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Analytics, or a related field.
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Minimum 6 years of relevant experience required.
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7–10 years of experience in Data Analytics, Business Intelligence, Data Engineering, or AI-enabled solutions preferred.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
Why You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. now.
Submitting an Application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
AI Disclosure
For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.
