Top Data & Analytics Jobs in Mumbai, MH

Deploy and onboard structured and unstructured data products onto BlackRock’s Data Platform as a Service. Responsibilities include defining schemas, ownership, SLAs, quality, and governance; troubleshooting pipelines; developing reusable ingestion connectors, templates, and accelerators; supporting platform engineering; enabling partner teams through workshops and documentation; and contributing AI-assisted onboarding workflows using schema inference, metadata mapping, agents, and automation.

Design, develop, test, deploy, and maintain cloud data platform components and automated pipelines using Airflow, Python, Snowflake and dbt; support teams, ensure performance and scalability, perform root-cause analysis, and provide L2/L3 operational support within Agile SDLC.

Build and own scalable Snowflake data infrastructure, ETL pipelines, curated datasets, and data quality frameworks supporting financial analytics. Partner with modeling experts to translate requirements into production-ready designs, optimize performance and costs, standardize deployments, and meet SLAs. Use AI-assisted engineering tools responsibly for coding, testing, troubleshooting, and documentation while maintaining privacy, security, and governance standards.

Partner with investment, operations, and finance teams to translate business needs into BI dashboards, reporting, automation, and AI-enabled analytics using Power BI and SQL. Identify reporting gaps, capture requirements, and support adoption of AI-driven insights while liaising between business stakeholders and technical teams.

Build and maintain data pipelines, web harvesting, and analytics tools to support investment research and risk workflows. Translate business requirements into scalable data solutions, collaborate with engineers and AI leads, and deliver production-grade data assets, dashboards, and AI-assisted research capabilities.

Produce forward-looking index projections, research index changes and corporate actions, build analytics platforms, apply data science and modeling with Quantitative Research, support index portfolio management and product teams, deliver data insights, and design risk controls for index data and methodologies.