Top Data Analyst Jobs in Bangalore

Perform digital analytics using Adobe Analytics/CJA to build dashboards, automate recurring reports, analyze multi-channel customer journeys, identify optimization opportunities, and present insights. Collaborate with product, design, development, and marketing teams to ensure data quality and translate business questions into data-driven recommendations.

The Lead Data Analyst drives insights and analytical outcomes in healthcare using Azure Databricks, mentoring analysts, and managing data pipelines.

Maintain and govern enterprise master data by defining standards, integrating systems, supporting SAP MDM/MDG users, translating business needs into technical designs, training users, coordinating consultants, and improving data lifecycle and system configurations.

Maintain accuracy, governance, and lifecycle of enterprise master data in SAP environments. Define data standards, map system integrations, support global SAP MDG/MDM users, collaborate with Supply Chain/Finance/IT, design technical solutions, provide training, coordinate consultants, and ensure data quality and system controls.

Design, build, and maintain Power BI dashboards and data models using DAX and Power Query. Write and optimize SQL for extraction and validation, perform data quality checks, collaborate with stakeholders and IT, and document reporting standards and data flows to deliver timely analytics.

Design, build, and maintain end-to-end analytics solutions on Skywise/Palantir Foundry. Develop data pipelines, ETL scripts, dashboards, KPIs, and automation. Work with product owners and stakeholders to capture requirements, support deployments across environments, troubleshoot issues, and promote self-service analytics and data governance. Conduct AI/ML feasibility studies and coach internal users.

Clean, prepare, and analyze corporate disclosure data (primarily in Excel); draft research reports and briefings; monitor market and ESG/AI developments; refine surveys and review company feedback; support engagement with companies and investors; respond to internal data queries; collaborate with analysts and team leads. Role requires office attendance three days a week and working 11:00–20:00 IST.

The Data Transformation Analyst is responsible for capturing and maintaining data related to engineering standards and regulatory compliance, ensuring high quality and timeliness.

Lead and manage a team of data analysts, oversee analytics projects, engage stakeholders, and drive automation initiatives to enhance efficiency in healthcare marketing research.

As a Supply Chain Data Analyst, you will analyze complex datasets, create dashboards, and deliver insights to support data-driven decision-making across the supply chain.

Analyze large datasets, create reports and dashboards, optimize SQL queries, implement AWS analytics services, and support application data issues.

Analyze large trading datasets to produce reports, dashboards, and empirical analyses on fixed income trading. Respond to internal queries, build Tableau assets, and present insights that inform product and business decisions while ensuring accuracy and timeliness.

Design, develop, and support analytics solutions, dashboards, reports, and data models. Prepare and transform data, ensure data quality and governance, collaborate with stakeholders, leverage AI to accelerate delivery, and drive process improvements to enable data-driven decisions.

Support Sales & Marketing insights by extracting and validating data from Power BI and Excel, performing foundational analysis, and developing executive-ready PowerPoint deliverables. Assist senior analysts with deeper-dive analyses, light report modifications, and ad hoc requests to ensure timely, accurate reporting for leadership.

Support Retail and Selection by building and maintaining ETL pipelines, ensuring data integrity, using SQL and Python/R for analysis, leveraging LLMs and prompt engineering to automate catalog tasks, creating dashboards and training business users, and running simulations for SKU, replenishment, and competitive insights.

Analyze large financial and operational datasets, build and maintain dashboards and reports, write efficient SQL queries, perform deep-dive analyses, automate workflows with Python, ensure data quality, and partner with Finance, Product, Operations, and Data Engineering to surface actionable business insights.

Build and maintain interactive Power BI/Tableau dashboards, analyze large datasets using SQL, translate business requirements into data-driven recommendations, ensure data accuracy and consistency, optimize queries and reporting processes, and collaborate with stakeholders to support strategic decision-making.

Collect, clean, and analyze large datasets; create reports and dashboards; perform statistical analysis and collaborate with stakeholders to extract insights that support business decision-making.

Design and deliver advanced Power BI financial dashboards with AI-driven insights, build and maintain financial data models, perform SQL/Alteryx data transformations, produce monthly management reporting and variance analysis, partner with finance and IT stakeholders to drive automation and reporting governance.

Join the ISC Analytics and Reporting team to develop and maintain Power Platform solutions, Power BI reports and dataflows. Collaborate with IT and stakeholders to design data models and end-to-end data solutions using Azure, Databricks, Python and SQL to support supply chain domains. Contribute to data strategy, analytics, and continuous improvement in a hybrid Bangalore-based role.

Design, build, and maintain Snowflake/dbt data pipelines and models powering customer experience analytics. Write production SQL and Python, implement dbt tests and data quality checks, integrate with GCP and downstream BI (Power BI), and contribute to AI/LLM integration and tooling adoption.

Collect, clean, and validate data from multiple sources; analyze trends and KPIs; prepare reports and dashboards; support BI development; perform ad-hoc analyses; ensure data integrity and documentation; collaborate with stakeholders to improve operational performance.

The Data Analyst Supervisor leads AI-enabled analytics and automation for Internal Audit, ensuring audit execution through data analysis, automation solutions, and stakeholder engagement. Responsibilities include designing audit analytics, testing routines, developing dashboards, and facilitating knowledge sharing within the audit team.

The Lead Data Analyst role involves leading data architecture development, data quality assurance, integration, and operational excellence while collaborating with cross-functional teams and managing data projects.

The Senior Network Data Analyst will design and maintain data architecture, transform legacy data into standardized models, resolve anomalies, and support automation pipelines.