Business Data Analyst
NetApp
- Location
- Bengaluru, Karnataka, India
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 54 approvals (FY2023)
Skills
About this role
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If you run toward knowledge and problem-solving, join us
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.
Business Data Analyst
Bengaluru, India
Job category: Information Technology Job ID: 135709-en_US
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Job Summary
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. Job Requirements Key Responsibilities Develop and maintain Power BI semantic models and reports Perform data extraction, cleansing, transformation, and analysis. Build and support data pipelines and integrations across enterprise platforms. Develop AI-enabled solutions, automation workflows, and analytics use cases. Ensure data quality, governance, and consistency across reporting solutions. Collaborate with business stakeholders to translate requirements into scalable analytics solutions. Document business processes, data flows, and technical specifications. Stay current with emerging trends in Analytics, Data