3,797 it data analyst jobs in India.

... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...

... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...

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... converting data from text to columns, formatting date and values] Experience: 1-3 years of relevant Industry exposure Primary Skills – • Good in Excel, • Reporting, • Data Reconciliation, • Handling payment data, • Good communication skill Good to Have: Experience with clinical research / analyst who has experience dealing with ...

... outcome predictionDoctor and patient behaviour modellingHealthcare recommendation systemsMedical NLP and clinical language understandingData quality and clinical entity modellingFeatures and datasets for foundation and generative AI modelsYou will work closely with ML engineers, clinicians, product managers and data engineers ...

... AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, DABs, DLT), PySpark, and SQL, delivering enterprise-scale data transformation, and supporting Power BI reporting through well-modelled silver/gold layer datasets. The Data Engineer works closely with the Head of Data & Analytics ...

... process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce — and apply that context to ground AI solutions in real enterprise reality. - Work with modern cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP, gaining hands-on experience with scalable ...

... Observability : - Implement data quality checks, validations, and monitoring to ensure reliability and trust in data products.- Contribute to data lineage, metadata management, and documentation.- Apply observability practices using tools such as Great Expectations or Monte Carlo.- Ensure compliance with data governance standards ...

... and deploying machine learning models using Python, with a strong grasp of libraries such as Scikit-Learn, XGBoost, LightGBM, or PyTorch.- Proven ability to write production-quality code and manage data workflows using SQL and cloud-based environments like AWS or GCP.- Exceptional communication skills, with the ability ...

... 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, ...

... to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions ...

... world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks. As a hands-on technologist with an extensive data engineering background using Databricks , you ...

... with Data Engineers, Architects, BI Developers, Analysts, and business stakeholders to ensure data models align with enterprise architecture.- Review existing data models and identify opportunities for performance improvement, scalability, standardization, and simplification.- Establish and maintain data modeling standards, ...

... business stakeholders, data architects, and development teams to define data entities, relationships, business rules, and data standards. Develop and maintain data dictionaries, metadata repositories, lineage documentation, and data mapping specifications. Ensure data models align with data governance, security, privacy, ...

... conduct data science modelling, employing statistical and machine learning algorithms to derive actionable insights. Your responsibilities will encompass: - Data Modeling: Developing and implementing sophisticated data science models to extract valuable insights from complex datasets. - Algorithm Implementation: Applying ...

... us to redefine the Commercial Real Estate industry. We are building a data pipeline that merges with the tested design of data warehousing and the latest big data technologies. You will own features and modules end to end — designing basic solutions, delivering high-quality maintainable code, and securing core data elements. ...

... document metadata models to support search, classification, governance, and retrieval • Develop schema designs for both SQL and NoSQL databases • Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements • Define data relationships, hierarchies, ...

... ensuring data quality, consistency, and performance. - Technology Evaluation & Implementation: - Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for future scalability. - Oversee the integration of new technologies into the enterprise data architecture, balancing ...