Top Data Analyst Jobs in Mumbai

Early-career Data Analyst who designs and owns core analytics, dashboards, and data pipelines. Analyze transaction, customer, and credit data to inform credit, fraud, AML, portfolio performance, unit economics, and growth. Build automations and workflows with SQL and Python, partner with cross-functional teams, and own compliance reporting and durable analytical systems.

Senior Data Analyst role based in Chennai or Bangalore requiring strong SQL and visualization skills (Power BI or Tableau). 8+ years experience required. Python and PowerAutomate familiarity preferred. Responsible for analyzing data, building dashboards, and supporting reporting and automation.

Seeking a Data Analyst with 6-9 years' experience in Python-driven data analysis or automation. Must be strong in Python programming, basic AWS, shell scripting, and Linux to build analysis scripts, automate workflows, and operate in Linux/AWS environments.

Conduct consultative analytics and deliver executive-level recommendations and ad hoc analyses to business and finance partners. Build self-service dashboards and presentations, perform predictive modeling and time-series forecasting (preferably for workforce optimization), provide cost-benefit analyses for investments, and streamline processes while communicating insights to senior stakeholders.

Perform consultative analytics and predictive modeling to produce executive-level recommendations and ad-hoc analyses. Build dashboards and presentations for senior management, support finance and business partners with cost-benefit and workforce optimization analyses, streamline processes, and communicate insights clearly to influence decision-making.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

Design, build, and govern HSW data solutions and analytics; deploy AI and automation into HSW processes; produce Power BI dashboards and regular reports; support Cority operations; drive data strategy, governance, and actionable insights to improve safety and operations.

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.

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.

Partner with business stakeholders to convert questions into data analyses, build predictive models (regression, decision trees, random forest, SVM), produce visualizations and scorecards in Tableau/PowerBI, surface insights and recommendations, and communicate results to senior leaders. Drive POCs to implementation and handle large structured and unstructured datasets; working knowledge of LLMs/GenAI and deep learning is advantageous.

Designs, develops, and maintains scalable data architectures, ETL pipelines, data lakes, warehouses, data models, and data catalogs. Builds data solutions using Azure Data Factory, Azure Data Lake, Databricks, Scala, .NET, Python, and PySpark. Partners with data scientists, business stakeholders, analysts, and architects to deliver analytics-ready data products, establish governance and standards, mentor professionals, evaluate emerging tools, and support strategic enterprise initiatives.

Validate and transform policyholder data for actuarial modelling and assumption setting. Produce specifications, controls, documentation, and analyses; review inputs/outputs; implement remediations; support stakeholders and deliver high-quality, auditable outputs under senior guidance.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Transforms HR and People data into accurate workforce insights through analysis, Power BI dashboards, reporting, validation, and data quality assurance. The role maintains reporting outputs, translates stakeholder questions into analytical solutions, supports automation and process improvement, and communicates recommendations clearly to technical and non-technical audiences. Workday expertise, advanced Excel, complex dataset analysis, and strong stakeholder management are central requirements.

The Data Analyst will analyze data, develop dashboards, conduct statistical analyses, and collaborate with teams to provide insights that drive business decisions.

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

Design, build, and maintain ETL pipelines, semantic models and SQL transformations. Develop and optimize Power BI dashboards (DAX, Power Query, RLS), lead end-to-end BI projects, troubleshoot performance, document data lineage, and mentor junior analysts to enforce BI best practices.

Curate, classify, and organize internal and external knowledge assets using AI-enabled tools. Maintain metadata, taxonomy, and repository hygiene; ensure data quality and governance. Support consultants with content retrieval, reporting, and continuous improvement of KM processes.