3,760 data analyst jobs in India.

We are seeking a highly skilled Senior Data Engineer to architect, build, secure, and optimize end-to-end data pipelines and enterprise-grade data platforms. The ideal candidate brings deep expertise in Python, Snowflake, modern cloud ecosystems, data warehousing design, and DevSecOps-led automation. You will mentor junior ...

... ensuring scalability, reliability, and seamless integration with EMR/EHR systems. Align AI systems with interoperability standards such as HL7, FHIR, and healthcare data formats. Unstructured Data Processing: ~ Process and analyze unstructured healthcare data, including clinical notes, audio transcriptions, and diagnostic imaging, ...

The ideal candidate should possess experience with ETL, data and reporting; and contributing code to deliver new features and functionality. Day-to-day you will collaborate with engineers, product managers, designers, marketing, operations, and customer experience teams. This role is integral to our client's team which ...

... Data Governance & Processing : Implement data versioning, incremental processing, and ensure high data quality, consistency, and governance standards.- Azure Data Platform : Utilize Azure services such as Data Factory, Data Lake Storage, Synapse Analytics, and Key Vault to build secure, scalable data solutions.- Application ...

... 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 ...

... and compliance across data platforms.- Develop streaming data solutions using event-driven architectures and real-time processing frameworks.- Utilize Azure Data Factory, Azure Synapse Analytics, and related Azure data services for orchestration and transformation.- Collaborate with data scientists, analysts, and business ...

... implement Generative AI models to solve business challenges. Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization. Write efficient and scalable code in Python, R, and SQL to manage and manipulate data. Collaborate with cross-functional teams ...

... LangChain, OpenAI models, prompt engineering, RAG pipelines. - More on traditional machine learning with cloud aws exposure - Understanding of statistics, Ex – Data distributions, Data drift, and hypothesis testing - Experience in production level ML solutions. Ex – GIT, Modular coding and ML Pipelines - Good communication ...

... data processing.- Work with ADLS, Azure Databricks, Azure Data Factory, Synapse, and Azure SQL DB.- Build and maintain data lakes, analytical pipelines, and data processing frameworks.- Work with Delta Lake / Delta Live Tables for reliable data processing.- Develop solutions for both big data and relational database environments.- ...

... maintaining the acquisitions pipeline from sourcing through closing . Responsibility: - Research and identify potential acquisition opportunities and build targeted databases of property owners, brokers, lenders, and sellers . - Monitor investment platforms such as LoopNet, Crexi, broker listings, and other market sources, while ...

... role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and ...

... of data you find satisfaction in messy datasets made clean and hard questions made answerable.- Strong hands-on experience in data research, data quality/QA, data science, or analytics engineering (typically 5 - 9 years).- Fluency with Python and SQL and modern data tooling; comfort digging into large, real-world datasets.- ...

... Credit Decisioning - Repayment & Collections - Interest, Fees, and Amortization - Lending workflows and integrations Good to Have - Experience leading BSA/System Analyst teams or initiatives. - Knowledge of APIs, system integrations, databases, and application architecture. - Experience in enterprise banking applications and ...

... and analytical thinking, and continuously adapt as technologies evolve , must drive an AI first sense of purpose and urgency. The Senior Regulatory Affairs Analyst is responsible for supporting Clinisys' global regulatory affairs activities to ensure ongoing compliance with applicable healthcare, medical device, software, ...

... ETL/ELT data pipelines using Azure and Databricks.- Develop and optimize data processing solutions using PySpark.- Build and manage data pipelines using Azure Data Factory (ADF).- Work with Databricks for data ingestion, transformation, processing, and optimization.- Write complex and optimized SQL queries for data extraction ...

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... convey a clear understanding of the unique needs of different audiences. Data Analytics - Discovers, interprets and communicates qualitative and quantitative data; determines conclusions relying on knowledge of business or functional frameworks; simultaneously applies statistics, data validity, data visualization, and problem ...

... will partner closely with divisional and functional Data Management Offices (DMOs), business leaders, and IT teams to drive execution of a broad portfolio of data initiatives spanning data strategy, data governance, data quality, data stewardship, data architecture, and data integration . The Data Program Manager will be ...

... transformation across media, content, and fintech ecosystems. We combine startup agility with the scale and trust of one of India's leading media houses — creating data-driven digital experiences that reach millions of users every day. We're looking for a Data Scientist who can turn complex datasets into actionable insights that ...

... Knowledge of pandas, PySpark, or equivalent; - Knowledge of columnar storage and time-series analytics; - Familiarity with Dataplex; - Understanding of Change Data Capture patterns using Datastream; - Understanding of bitemporal data modeling concepts; - Understanding of financial reference data; - Familiarity with BigQuery ...