NVIDIA Business Analyst Jobs 2026
Information Technology | Pune
Job Overview
NVIDIA is hiring for the role of Business Analyst within its Information Technology / Data Analytics division in Pune, India.
This opportunity is ideal for professionals with strong expertise in SQL, Python, Databricks, and data pipeline management who can help transform large-scale business data into actionable insights. In this role, candidates will work on scalable data pipelines, ETL optimization, cloud-based data solutions, and reporting systems while collaborating with teams across multiple geographies.
💡 Why this role?
This position is perfect for professionals interested in data-driven business analysis, cloud technologies, and analytics engineering within a globally recognized technology company driving the AI revolution.
Roles & Responsibilities
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Build and maintain scalable, robust data pipelines utilizing Databricks and Python for large enterprise datasets.
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Optimize and seamlessly automate ETL processes, integrating complex data from multiple disparate systems and cloud platforms.
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Manage data lakes and warehouse environments, closely monitoring and troubleshooting issues related to data processing pipelines.
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Ensure high data quality, consistency, and reliability while supporting cross-functional BI and data science initiatives with actionable insights.
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Collaborate extensively with stakeholders and distributed global teams to support core reporting and strategic analytics requirements.
Eligibility Criteria
Education
Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field.
Experience
2–3 years of core experience in data engineering or analytics, with a minimum of 1 year actively working on Databricks or similar platforms.
Technical & Core Competence
Strong expertise in SQL, Python, and Databricks. Deep understanding of Data Modelling, Database Management, and ETL Process Optimization. Experience with AWS or Azure Cloud Platforms, Data Warehousing, Data Lakes, API Architecture, and foundational Machine Learning concepts.
How to Apply
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