3,110 master data analyst jobs in India.

... understanding of ETL/ELT concepts, data integration, data transformation, and data warehousing.- Experience designing and implementing data pipelines using multiple data sources.- Good understanding of Azure cloud services, security, networking, and data platform architecture.- Experience working with ERP data and ERP data flows.- ...

... collaborate alongside data team members based in Ireland, USA and India. Following the successful delivery of some fantastic products in 2024, we have embarked upon a data-driven strategy in 2025. We have a huge amount of data and are keen to accelerate unlocking its value to delight our customers and colleagues. You will be tasked ...

Data Scientist :- Bangalore, Chennai, Pune Location India - Bangalore, Chennai, Pune Salary INR 700000 - 900000 Experience 2 - 4 Years Compensation Details Role: Data ScientistExperience Level: Bachelor's/Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field from a reputed institute. ...

... scalable data capabilities Strong programming, data engineering, data modeling and analytical problem-solving skills, including experience with large and complex datasets Experience operating in cross-functional environments and partnering with business, analytical, technology and data stakeholders to deliver complex initiatives ...

... consistently. You will also partner with the different teams to identify, pilot, and operationalize AI- and automation-driven tools that reduce manual work, improve data quality, and scale our workflows, while training your team to adopt these tools safely and effectively. A Day in the Life of a Provider Data Operations Team Lead: ...

... Education/Experience: Bachelor's or Master's degree in Computer Science, Information Technology, or related fields. Expertise in Data Engineering. Certifications in database technologies (e.g., Oracle DBA, Microsoft SQL Server, AWS Certified Database Specialist) are a plus. Proficiency in relational databases (MySQL, PostgreSQL, ...

... decision-making, optimize user engagement, and drive measurable growth across web and mobile applications, including React-based environments. Lead and mentor a team of Data Scientists and Analysts to design and implement advanced data models and analytics solutions. Define and drive the organization's data science roadmap aligned ...

... experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domains - Strong proficiency in SQL and Python, with experience in data for real-time and streaming data - Experience building executive-ready dashboards and BI reporting for large-scale programs - Solid understanding of marketplace ...

... shape the future of clinical development. As a Senior Clinical Data Science Lead at ICON, you will lead the analysis, interpretation, and management of clinical data to drive the success of our clinical trials. What You Will Do: You will oversee clinical data science workstreams, ensuring deliverables meet quality and timeline ...

... multiple data pipelines and domains. - Define and drive automation strategies to validate complex ETL logic and business rules in platforms like Snowflake and Databricks. - Collaborate with data engineers, analysts, and product managers to ensure the completeness, accuracy, and integrity of data across systems. - Oversee ...

... master data from third-party data providers. This team plays a crucial role in our core business, enabling alignment across public and alternative investment data products and empowering clients to effectively manage their investment portfolios. As a Senior Software Data Engineer you will collaborate closely with product ...

... 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, ...

... 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 adjacent role, including mastery of Agile methodologies ...

... engineering tools and identify ways of implementing them to enhance efficiency and deliver business impact. 2 to 4 years of relevant experience. Bachelor's or master's degree in data science, statistics, mathematics, computer science or engineering. Strong experience in building AI/ML models and delivering data science projects. ...

... relevant field (e.g., Data Science, Computer Science, Electrical / Mechanical / Chemical Engineering, Mathematics) with 5+ years of professional experience; or a Master's degree with 3+ years of professional experience. Professional experience in data science, data / software engineering, controls, operations research, or related ...

... Airflow deployments using Git-based workflows.- Monitor data pipelines, resolve production issues, and ensure high availability and reliability.- Collaborate with data analysts, business stakeholders, and engineering teams to understand requirements and deliver scalable data solutions.- Prepare and maintain technical documentation, ...

... reducing cost, rewarding big users not penalizing them, empowering more people and leading the human centric AI future. Telecom Invented. Senior Data Scientist The Data Scientist will report to the Data Science Section Manager / Senior Data Scientist (10-12 years of experience). We are looking for Senior Data Scientist who will ...

... 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. ...

... Analytics, and custom dashboards. Assemble and manage large, complex datasets that meet functional and non-functional business requirements. Implement and maintain data quality frameworks using tools such as dbt tests and monitoring solutions. Collaborate with business intelligence analysts, data scientists and business stakeholders ...

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 ...