Top Data Analyst Jobs in Mumbai

Support centralized reference data for ESG, funds, corporate, and instrument analytics: troubleshoot data issues, define business rules and alerts, onboard products/consumers, profile datasets, collaborate with vendors and technology teams, and maintain SOPs and incident inventory to ensure high data quality.

As a Data Analyst, you'll analyze complex data sets using statistical techniques, collaborate with SMEs, and prepare reports for stakeholders.

Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.

Lead SOX compliance and ICFR activities including internal controls design, risk assessment, audit coordination, governance reporting, operational effectiveness, and stakeholder communication.

Support Australian clients by sourcing, preparing and analysing large call-centre datasets, building Power BI dashboards, performing diagnostic and root-cause analysis, and delivering data-driven narratives and QA insights to improve operational performance.

Perform business process mapping and requirements elicitation (BPMN 2.0), design 'To be' solutions, produce BRDs, use cases, user journeys and acceptance criteria, support TOM and foundation data initiatives, drive process improvements using Lean/Six Sigma, document processes, conduct training, and collaborate with stakeholders to translate business needs into application and operational requirements.

Perform advanced data analysis and statistical modeling in R, build and optimize complex SQL queries, ensure data accuracy and quality, collaborate with stakeholders to deliver insights, and optionally process large datasets using Hadoop or similar big-data technologies.

Combine customer marketing and data analysis to drive engagement and retention. Collect and clean data from CRM, web, and campaign tools; build dashboards and segments; run email, loyalty and upsell campaigns; measure ROI and retention; design sales incentive schemes; support forecasting, territory planning, and sales-marketing alignment.

The Senior Business Analyst will analyze and resolve data quality issues, coordinate with data teams, document business requirements, and implement data governance frameworks to improve business productivity and data management processes.

Ensure operational integrity by performing reconciliations, investigating exceptions, maintaining controls and audit-ready documentation, and producing management reports and KPIs. Collaborate with business, operations, technology, and risk partners to resolve discrepancies, drive automation (Alteryx/SQL/Excel), and improve control frameworks and processes.

Consolidate and analyze Salesforce, partner, and internal data to produce dashboards, sales funnel analytics, and actionable insights. Support partner onboarding, performance management, forecasting accuracy, and cross-functional data-driven decision making.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.

Build and maintain Python data pipelines to ingest, transform, validate, and load financial datasets. Onboard and document new vendor datasets, monitor pipelines, resolve data quality and delivery issues, and collaborate with researchers, analysts, and engineers to ensure reliable data for research and trading.

Join the Global Pricing Team to analyze market and customer data, build automated pricing dashboards and tools, apply statistical and ML methods (elasticity, regression, forecasting) to optimize pricing, and translate insights into commercial recommendations while driving process improvements and stakeholder enablement.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

Develop and maintain enterprise Power BI dashboards and semantic models, perform complex SQL data analysis, create executive reports and visualizations, ensure data quality and governance, collaborate with business stakeholders to deliver analytics solutions, and support predictive analytics initiatives to inform strategic decisions.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Develop and maintain enterprise Power BI reports, dashboards, and semantic models. Perform complex SQL-based analyses, validate and cleanse data, create executive visualizations, and collaborate with stakeholders to deliver data-driven recommendations that support business strategy and predictive analytics initiatives.

The role involves building scalable data models, automating reporting, implementing metrics, developing dashboards, and ensuring data quality across teams globally.

The Data Analyst - Senior Associate PMA will manage data, support program reporting, coordinate with teams, and create communication collateral. Responsibilities include data analysis, monitoring, and engaging with stakeholders.

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.