Top Data & Analytics Jobs in Mumbai, MH

The Data Analyst will own reporting and analytics for the Revenue Operations team, ensuring data accuracy and quality while supporting stakeholders with actionable insights.

The Analyst will support global analytical teams in credit analysis through financial modeling, data research, and maintaining industry data for corporate credit ratings.

As a Senior Data Engineer, you will design and maintain data pipelines, develop data models, and support analytics initiatives while collaborating with diverse stakeholders.

As an Associate Quant Analyst, you'll automate data analysis processes, develop workflow optimization tools, and assist in quantitative analysis for credit ratings, collaborating with internal and external teams.

As a Senior Quantitative Developer, you'll design and maintain data architecture and pipelines, collaborate with teams to optimize quantitative strategies, and ensure data governance in financial systems.

The Senior Data Scientist will leverage machine learning and NLP to enhance data insights, improve decision-making, and deliver scalable AI/ML systems, collaborating with global teams for product integration and following best practices in model performance.

The Analyst will support cash flow analysis in mortgage-backed securities, develop tools in Python, SQL, and VBA, and analyze credit risks.

Support journalists by extracting, cleaning, and transforming investment data using Excel, SQL, and Python; build Jupyter notebooks and templates; provide ad-hoc training; collaborate with communications and internal teams to produce and distribute data-driven stories and maintain best-practice documentation.

The Web Data Analyst will manage reporting and operational analytics, ensuring data accuracy and supporting web performance metrics. Responsibilities include maintaining dashboards, analyzing trends, and collaborating with stakeholders to enhance data quality and insight delivery.

As an Associate Content Researcher, you will analyze data solutions, enhance data collection processes, ensure data accuracy, and collaborate across teams to drive operational excellence.