4,165 data analyst fintech jobs in India.

... configuration-versus-customization trade-offs. - Experience working within Service Cloud or customer service and support operations domains. - Experience with complex data models, large-scale implementations, or multi-system enterprise environments. - Familiarity with data migration, reporting and analytics, and integration patterns ...

Leads team in the achievement of project milestones and team goalsTo oversee the day-to-day activities of a group of employeesCoaches, motivates and guides team membersUtilizes best practice processes around work assignments, Project management and quality of output while maximizing overall team’s performanceTo

... new analytical tools, AI-driven methodologies, and approaches to bring fresh thinking to familiar problems. Let the data lead - Analyze complex, multi-source datasets and extract insights that are grounded in evidence, not assumptions. - Present findings that challenge the client's internal hypothesis when the data calls ...

... global brands, including American Eagle, Sonepar, and Pandora. Join the Bloomreach GIST (Global Information Security & Technology) team as an Associate Security Analyst and help protect our e-commerce environment from threats, vulnerabilities, and sophisticated attackers. Your work will have a significant impact on numerous ...

... Talend, or similar tools - Programming: Advanced SQL, Python, PySpark - Data Modeling & Architecture: Dimensional modeling, data vault, lakehouse architecture, data product design - DataOps: Git, CI/CD, automated testing, pipeline observability, Terraform (preferred) - Data Governance: Data quality, metadata, lineage, cataloging, ...

... Engineering designing, building and supporting distributed systems and large-scale data processing systems in production with a proven track record. - Expertise in GCP Data Products e.g. BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer, Apache Kafka - Good hands on experience to Build Batch Data and Streaming Data Pipelines ...

... - Strong financial domain experience. - Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards. - Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, ...

... use, escalating when uncertain and following data handling requirements. - Advanced SQL skills (e.g., joins and aggregations) and working understanding of NoSQL databases - Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis - Experience customizing ...

About the Role We are hiring an experienced Customer Data Specialist to manage service master data, customer and technician setup, Installed Base (IB) management, and SAP–SMAX integration. The role is responsible for ensuring accurate master data governance, supporting service operations, inventory and logistics coordination, ...

... Enable trusted, scalable, and reusable safety data assets. Data Governance & Standards - Establish and maintain safety data governance frameworks. - Define safety data standards, business rules, metadata, and data quality controls. - Collaborate with Data Owners, Data Stewards, and Technology teams to improve data integrity ...

... (MMM) studies to measure channel-level marketing effectiveness and guide budget allocation - Write efficient SQL queries to extract, transform, and validate data from large marketing and transactional datasets - Build and productionize data pipelines and models in Python (pandas, scikit-learn, statsmodels, or equivalent) ...

... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities : - Design, build, test and deploy scalable and reusable systems that handle large amounts of data.- Collaborate with product owners and data scientists to build new data products.- Ensure data quality and https://jobeax.com/link/ZxjpPrDBru7W4ePm Skills : - Experience designing and managing data flows.- ...

... SAP MDG, or similar data management solutions. - Strong knowledge of SQL, Windows Server, APIs, cloud platforms (Azure and AWS), infrastructure, GitHub, and DataDog. - Understanding of data governance, metadata management, data quality, and master data management concepts. - Experience with automation and scripting tools ...

... Foundry and Azure Databricks - Proficiency in Python/PySpark and SQL , including experience designing performant queries, data models, and dimensional modelling/data warehousing concepts - Hands-on experience with enterprise data platforms and distributed computing (Spark/Hive/Hadoop), working with large datasets in Cloud ...

... demonstrating expertise in scalable and efficient data processing. In This Role, You Will: Data infrastructure and processing: - Lead the design and development of data pipelines for seamless integration of data from various sources into the G2 Data Platform. - Optimize data pipelines, ensuring cost effectiveness, scalability, ...

About the Role Join our Data Engineering team to build modern cloud-based data platforms that support analytics, reporting, and business decision-making. We are looking for a Data Engineer to build and maintain scalable data solutions on AWS. The role involves developing data pipelines, implementing Lakehouse architecture ...

... detailed technical designs, development, and implementation of applications using cutting-edge technology stacks. The Senior Data Engineer Opportunity As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable solutions. This role involves collaborating with data engineers, analysts, ...

GE HealthCare seeks a Senior Data Engineer to design and implement data engineering solutions, ETL pipelines, and analytics infrastructure. The role involves data profiling, metadata management, and automation using cloud and low-code tools to support data science outcomes. Responsibilities - Design and build automations ...

... resolve performance bottlenecks in data pipelines and queries, ensuring optimal data flow and accessibility. • Data Governance & Quality: Implement and enforce data governance best practices, ensuring data quality, integrity, security, and compliance. • Collaboration: Work closely with data scientists, data analysts, and ...

... - Strong financial domain experience. - Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards. - Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, ...