693 Full-time technical data analyst jobs in India.

... SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Provide timely and effective technical support to clients. Troubleshoot and resolve system or application issues. Document client issues and resolutions for future reference. Collaborate with cross-functional ...

... operations. Collaboration with external vendors and internal service management teams is a key part of the daily routine, ensuring timely analysis and resolution of technical issues to support business continuity and operational excellence. Assist in monitoring system performance and proactively identify potential issues to prevent ...

... networking best practices and organizational policies. Evaluate and implement new networking technologies and tools to improve operational efficiency. Provide technical support and guidance to team members, clients, and stakeholders. Required Skills: Strong proficiency in core routing and switching (Juniper, Meraki, Fortinet, ...

... SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Provide timely and effective technical support to clients. Troubleshoot and resolve system or application issues. Document client issues and resolutions for future reference. Collaborate with cross-functional ...

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... including generative AI and LLM-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context — data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...

... experience in data engineering principles, data integration, transformation, and cloud-based data platforms, with the ability to build reliable and high-performing data solutions. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to develop data pipelines, optimize data workflows, ...