2,964 Remote data analyst night shift jobs in India.

... looking for a Senior Data Scientist as we support our partner in developing a Global Analytics Unit—a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations. The team is designed to foster a data-driven entrepreneurial culture ...

... customer experiences. Designing the data model for data collection in the data warehouse Data Collection and data storage from existing and new data sources to the Data Warehouse and Data Lakes Building ELT/ETL solutions to enable batch processing and real-time data processing Maintaining data pipelines and monitoring data pipeline ...

... applications and external systems through REST APIs, Web Services, Event Streaming, and other modern integration patterns. Understanding of Data Governance, Metadata Management, Data Quality, Master Data Management (MDM), and Data Lineage concepts. Strong knowledge of data security practices, including data encryption, masking, ...

... develop, and deploy scalable data solutions that meet business requirements Build pipelines that support the ingestion, analysis, and enrichment of financial data by collaborating with business data analysts Advocate for standard methodologies, find opportunities for automation and optimizations in code and processes to ...

... contemporary data architecture patterns (e.g., creating robust data pipelines, and delivering insight-driven analytics to help clients make informed decisions. Data Engineering & Architecture Design and implement data solutions using ADF, Microsoft Fabric, Synapse, Databricks. Build data models for scalable data processing, ...

... Experience Bachelor's degree in Information Technology or a similar field. Experience with at least one of the following product areas is strongly preferred: data pipelines, data delivery, data controls, data catalog, data operations, data platform adoption At least 4 years of experience in product management or product ...

... architecture, data architecture, platform engineering, or closely related technology roles. - Strong experience designing modern data platforms, preferably using Databricks, Delta Lake, and Unity Catalog . - Solid understanding of lakehouse architecture, data governance, metadata management, data products, and semantic modeling. ...

... Azure BigQuery Dataflow Pub/Sub Dataproc Cloud Composer Data Fusion Cloud Storage Azure Data Services Python SQL Spark Terraform CI/CD GitHub Actions Cloud Build Data Architecture Data Modelling Data Mesh Data Fabric Data Products Data Contracts Data Quality Metadata Management Data Governance Data Observability Event-driven ...

... physical data models for enterprise applications and data platforms - Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains - Develop schema designs for both SQL and NoSQL databases - Work closely with business stakeholders, data architects, engineers, analysts, and product ...

... Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. - Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA ...

SAS Clinical Permanent employment Full time Contract work Work from home Flexible hours Afternoon shift

... Responsibilities: 1. Update the relevant data from the credit reports received from clients into Google Sheets. 2. Accurately enter and maintain credit report data in the assigned Google Sheets. Skill(s) required Data entry MS-Excel MS-Word Earn certifications in these skills Who can apply Only those candidates can apply ...

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... rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available. Responsibilities: - Carefully review provided data (text, images, or videos) - Label or classify content based on project guidelines - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...

... value chain (suppliers → operations → customers). Identify efficiency gaps and cost-of-quality opportunities. Data and reporting strategy and governance Lead HSW data strategy and governance, including data collection, analysis, and centralized reporting practices. Strengthen data architecture, data quality, and governance ...

Treasure AI At Treasure AI, we're on a mission to radically simplify how companies use data to create connected customer experiences. Our sophisticated cloud-based customer data platform drives operational efficiency across the enterprise to deliver powerful business outcomes in a way that's safe, flexible, and secure. ...

... 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. ...

Skyflow secures the flow of data across datastores, models, and agents. Enterprises turn to Skyflow as their runtime AI data control layer to protect sensitive data, enable safe AI deployment, and unlock full value from their applications, data platforms, and AI systems. Skyflow is trusted by Fortune 500 enterprises, and ...