3,689 data analyst jobs in India.

... Strong communication skills with the ability to engage technical, analytical, commercial and risk stakeholders.- Working exposure to structured and unstructured data sources, including on-chain and off-chain data.- Product management experience and knowledge of smart contract development, with Solidity, DAML, Rust or Canton ...

... exposure to DevOps, automation, and Agile delivery https://jobeax.com/link/TtkK7BHPbancvnFq Responsibilities : - Administer, monitor, and troubleshoot MS SQL Server databases and Windows environments.- Perform database maintenance, backup/recovery, performance tuning, and production support.- Troubleshoot complex database, application, ...

... deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Lead Business Analyst Overview The Corporate Treasury team is seeking a Lead Business Analyst to support the development, enhancement, and operational enablement of settlement services ...

... entities, attributes, relationships, keys, constraints, and data definitions across enterprise data environments.- Develop and optimize relational and dimensional data models to support reporting, analytics, and business intelligence requirements.- Collaborate with Data Engineers, Architects, BI Developers, Analysts, and business ...

... deployment and support. Adept at working in Agile environments and collaborating with cross-functional teams. Brings strong expertise in cloud platforms, big data technologies, and data integration tools, with a keen interest in the healthcare domain and emerging AI accelerators. Role: Senior Data Engineer Location: All ...

Financial Reporting Analyst A global pharmaceutical company building its India hub Bengaluru, Mumbai, Delhi NCR, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad — or Remote (India) A global pharmaceutical company is building its India hub and has partnered with Flexiple to hire its reporting team. Flexiple is a managed marketplace ...

Requirements What You Will Do Analyze Business Requirements. Analyze the Data Model and perform GAP analysis with Business Requirements and Power BI. Design and model Power BI schema. Transform data in Power BI, SQL, or Microsoft Fabric. Create DAX formulas, reports, and dashboards. Strong experience with Power BI or Microsoft ...

... transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. The Senior Salesforce Business Analyst serves as a strategic liaison between business stakeholders and technology teams, driving the successful implementation and enhancement of Salesforce solutions. ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

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... The candidate will be responsible for managing end-to-end project delivery, coordinating with cross-functional teams, and ensuring successful implementation of data solutions. Key Responsibilities Manage end-to-end delivery of Azure Databricks projects Work closely with data engineers, architects, and business stakeholders ...

... 'Orchestrating a NEC enables businesses and communities to adapt to rapid world where everyone has the chance to reach their full potential. Job Role: Business Analyst Total yrs of Experience: 7yrs to 10yrs Hybrid - 12days from office Primarily focussed on Systems Analysis and preparation of functional specifications / User ...

... for the enterprise data platform, collaborating closely with HQ architects and engineering leads.- Lead the design, development, and maintenance of scalable data platforms using Databricks, Data Lake, Data Factory, and Data Warehouse.- Defining and implementing integration patterns across ingestion, transformation, and ...

... unstructured data for downstream analytics.- Develop and optimize ETL processes to ensure high data quality, consistency, and availability across the enterprise data warehouse.- Manage real-time data streaming architectures using Confluent Kafka to support low-latency data consumption and event-driven applications.- Collaborate ...

... structured and unstructured data.- Optimize Spark jobs, queries, clusters, and data pipelines for performance and cost.- Integrate Databricks with cloud storage, databases, APIs, and enterprise data platforms.- Implement data quality, validation, reconciliation, and monitoring processes.- Work with data architects and data ...

... and digital trust capabilities. Our flexible and modularized methodology has been utilized by numerous global organizations to build a broad global privacy, data protection, and/or digital trust operations and includes the following phases and activities. Data lifecycle management Policy fine-tuning Cyber Data Operate ...

... with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises ...

... Underwriting, Reinsurance, billing and Policy and forms Generation is a definite asset. - Proficient in writing complex SQL queries. (Python (Beginner – Intermediate) Experience in Application Lifecycle Management. - 5+ years experience as a Business Systems Analyst. - SQL – Writing queries to pull data for ad-hoc requests.

... for the enterprise data platform, collaborating closely with HQ architects and engineering leads.- Lead the design, development, and maintenance of scalable data platforms using Databricks, Data Lake, Data Factory, and Data Warehouse.- Defining and implementing integration patterns across ingestion, transformation, and ...