Top Data Analyst Jobs in Kolkata

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

Lead data analysis workstreams using large datasets and AWS analytics tools to define metrics, test hypotheses, perform root-cause analysis, produce insights and visualizations, and present actionable recommendations to stakeholders.

Support and validate bank data migrations: maintain trackers, perform data validation and reconciliations, manage defect logs, coordinate test data and cutover/mock runs, prepare audit evidence, and produce status dashboards.

Support and validate data migration activities for legacy-to-modern core banking projects: maintain mapping and migration trackers, perform data validation and reconciliations, manage exception logs, coordinate SIT/UAT test data readiness, produce status dashboards, and support cutover/mock runs while ensuring data security and audit artifacts.

The Senior Analyst will own Pricing Tools, manage data governance, drive pricing strategy decisions, execute audits, and enhance operational effectiveness.

Turn large-scale time-series, sensor, and operational data into actionable insights. Build scalable data pipelines, automations, complex SQL/SparkSQL queries, BI dashboards, and monitoring for data quality. Detect anomalies, support root-cause investigations, prepare data for AI/ML and RAG applications, and collaborate with stakeholders to deliver analytics solutions and KPIs.

Maintain and operationalize the companys data governance artifacts: author and version taxonomies, business glossary terms, and data rules; detect and resolve rule conflicts and gaps; manage metadata and change history; support intake and certification of reference data; produce documentation and governance reporting to ensure rules are usable in production classification and quality workflows.

Lead end-to-end data analysis: transform raw data, develop reports and dashboards (PowerBI), monitor performance and quality, implement ETL and data modeling, apply predictive modeling/NLP/machine learning, and support cross-functional data-driven decisions.

Design, build, and operationalize analytics and visualization solutions using data from GCP, Oracle, and SAP HANA. Collaborate with stakeholders to define requirements, apply BI&A methodology, develop dashboards and metrics, and interpret analyses to identify trends, forecasts, and alternatives to support business objectives.

The role involves supporting and maintaining the Azure Data Platform by managing incidents, monitoring performance, and optimizing database operations. Responsibilities include troubleshooting ADF, Synapse Analytics, and ensuring data security compliance.