Top Data Analyst Jobs in Mumbai

The role involves data analytics with a focus on querying large data sets, visualization using Tableau, and applying quantitative skills, predominantly in the FMCG and Food & Distribution sectors.

The Data Analyst will analyze data to provide insights for decision-making across pricing, go-to-market strategy, and revenue performance, collaborating with stakeholders.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

As a Product Data Analyst, you'll manage data analytics, capture user behavior, optimize user experience, and analyze user journeys across SaaS and On-premises offerings.

Perform exploratory analysis, build dashboards and reports (Tableau), write SQL queries, use Python for data cleaning and predictive models, collaborate with stakeholders, communicate insights, and maintain data models, pipelines, and quality checks.

Lead design and maintenance of ETL pipelines and semantic models; build and optimize complex SQL transformations and Power BI dashboards (DAX, Power Query, RLS); manage end-to-end BI projects; optimize performance; document data lineage and schemas; mentor junior analysts and enforce BI best practices.

The MDM Analyst is responsible for the administration of master data in IT systems, ensuring quality and accuracy through best practices and collaboration with various departments.

Manage the data lifecycle, perform analysis and visualization, ensuring data accuracy and uncovering insights to support eCommerce goals.

The Data Operations Analyst supports data management, processes data for clients, ensures timely delivery of reports, and resolves operational risks.

The Financial Data Analyst analyzes financial and sales data to improve forecasting, budgeting, and performance, collaborating with various teams.

Collect, curate, classify, and maintain knowledge assets from proposals, deliverables, methodologies, and external sources. Apply metadata, taxonomies, and governance standards, use AI/NLP tools to automate tagging and improve searchability, support consulting teams with content retrieval, and generate reporting on repository usage and data quality.

The Sr. Data Analyst will design and maintain ETL pipelines, conduct data analysis in banking, ensure data quality, and collaborate with stakeholders.

The Data Analyst generates and manages data for reports, oversees coding teams, ensures quality standards, and contributes insights for report production.

The KYC Data Metrics Analyst is responsible for creating reports, supporting KYC operations, analyzing data metrics, and collaborating with various stakeholders to improve risk management and compliance within the organization.

Entry-level graduate role in DBS Technology & Operations supporting system design, implementation, data engineering, ETL and system reliability. Work includes cloud, distributed systems, API management, automation/DevOps, troubleshooting, and collaboration across product and business teams. Opportunity to learn GenAI, Cloud Data Platform, and machine-learning implementations while supporting banking product launches and operations.

Campus-hire Data Engineer focused on data quality and technology operations: design and implement scalable systems, build data pipelines/ETL, support production systems, troubleshoot incidents, and work with cloud, API management, distributed systems, and automation. Participate in DevOps practices, data platform setup, and cross-functional projects across banking products while learning security, risk management, and emerging tech like GenAI and ML.

Manage and operate data feeds and reference data for funds, indices, securities, and performance. Perform data ingestion, validation, research, reporting, operational controls, documentation, and stakeholder coordination to ensure accurate timely delivery and mitigate operational risk.

Independently extract data from CSV and PDF sources, transform and map into strict JSON schemas, build material- and supplier-level records, and validate every record with zero data loss. Use AI tools to assist but manually verify all outputs and follow SOPs and QA checklists.

Lead analytics on oncology patient journeys and line-of-therapy using large claims datasets (DRG, IQVIA, McKesson, Symphony). Perform EDA, HEOR/HCRU analyses, build SQL pipelines, automate analyses with Python and Excel, and present client-facing insights via dashboards and PowerPoint while ensuring data governance and reproducibility.

Lead analytics for oncology patient-journey and line-of-therapy mapping using structured claims datasets. Perform EDA, HEOR/HCRU analyses, build SQL pipelines, automate analyses with Python and Excel, create client-facing dashboards and presentations, ensure data governance, and manage stakeholder collaboration and project delivery.

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.

Analyze data quality, apply data maintenance, and integrate publicly available data. Collaborate with the product manager on data requirements and perform segmentation analysis.

The Data Management Analyst will analyze datasets, develop dashboards, optimize data models, support business planning, ensure data integrity, and present insights to management.

The Senior Data/Machine Learning Analyst develops, tests, and operationalizes data science solutions, leveraging various data types and analytics methods to drive business innovation at Cardinal Health.