Top Data Analyst Jobs in Bangalore

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.

The Marketing Data Analyst will manage data from Salesforce and HubSpot, performing analyses to support B2B marketing strategies and drive decision-making through insights, reporting, and dashboarding.

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.

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.

Support master data management and data quality initiatives: gather requirements, perform detailed analysis, monitor and remediate data quality issues, coordinate with stakeholders and technical teams, document findings, and manage ticket workflows to ensure consistent master data.

As a Senior Data Analyst, you will conduct data analysis, assist in forecasting, and translate business needs into analytical frameworks. Collaboration with various teams is crucial to drive clarity and effective communication.

Process and analyze large-scale datasets using PySpark/Python and AWS data services; build and maintain scalable ETL pipelines, validate data quality, and translate findings into actionable insights. Collaborate with engineers, GIS, BI, and commercial teams; support KPI tracking, performance reviews, and AI-enabled analytics workflows.

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 and build customer-facing dashboards and KPIs using Power BI and Apache Superset. Perform advanced SQL-based data mining in Databricks/Snowflake, deliver operational insights, partner with Customer Success and Data Science to standardize value frameworks, and use GenAI and Python to automate reporting and surface actionable business recommendations.

Analyze large structured and unstructured datasets (Snowflake, Teradata) to produce actionable insights for Sales, Customer Success, and Renewals. Build and maintain dashboards/reports, validate data quality, design data models, recommend storage solutions, optimize retrieval and visualization processes, and collaborate with business and technical teams to deliver timely BI and analytics.

Design, develop, and maintain MIS reports and dashboards; extract, transform, and analyze operational data; track KPIs and identify trends; ensure data accuracy and integrity; automate recurring reports with Excel/VBA; collaborate with Operations/IT/Finance; prepare executive presentations; assist in software/database implementation and testing.

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.

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

Own and optimize data structures and BI solutions; lead new data modeling, collaborate with Data Engineering and Product/Business teams, monitor and validate data feeds, support analytics architecture, participate in releases and deployments, and document requirements for reporting and decision-making.

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.

Design and build customer-facing Power BI dashboards, develop and track KPIs, perform advanced SQL-driven analysis and data mining, partner with Customer Success and Data Science to standardize value-engineering frameworks, and translate data into actionable insights that demonstrate measurable customer ROI.

Design and build reporting and visualization solutions using Qlik (View/Sense), maintain in-house tools, develop quick tactical MIS solutions, and communicate results to stakeholders. Support and improve existing data tools, produce ad-hoc analyses, and collaborate with internal/external customers in a health insurance context.

Design and build Qlik-based reporting and measurement solutions, maintain in-house tools, develop tactical BI fixes, perform SQL and data visualization work, and communicate with stakeholders in a health-insurance context.

The Business Analyst will support data accuracy and reporting within Cyber & Data Resilience, analyzing sales data and providing actionable insights for leadership. Responsibilities include cleansing Salesforce data, creating reports, and collaborating with stakeholders to enhance data quality and operational processes.