Top Data Analyst Jobs in Bangalore

Lead data analysis efforts within Integrated Supply Chain, translating complex datasets into actionable insights, developing analytics strategies, ensuring data integrity, and coaching ISC analytics team members to improve operational efficiency and decision-making.

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.

Perform data quality analysis, audits, remediation, and metadata documentation. Support data governance, regulatory reporting, data profiling, mapping, and stakeholder consultations to improve data integrity.

Design semantic data layers, build production-grade data pipelines and analytical datasets, create dashboards and visualizations, implement data quality and validation, leverage AI tools to accelerate development, and collaborate with stakeholders to deliver governed, scalable analytics solutions.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

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.

Lead Data Analyst responsible for MIS reporting, dashboarding, large-scale data analysis, SQL and Python-based automation, building Power BI/Tableau visualizations, using GenAI tools for automation, and mentoring junior analysts while partnering with stakeholders to define KPIs and deliver data-driven insights.

Analyze payments and transaction data to monitor success rates, settlements, reconciliations, and vendor performance. Write complex SQL, build and maintain dashboards, flag anomalies, support ad-hoc requests, and translate data into actionable insights for Payments, Finance, and Product teams.

Coordinate data uploads into SuccessFactors, manage organizational changes, analyze and validate data for system updates, and support compliance with data governance.

The Senior Market Data Analyst will manage market data inventory, process invoices, assist in documentation, and contribute to data analysis while ensuring exceptional client service.

The Market Data Operations Analyst will manage market data inventory, process invoices, support data analysis, and contribute to process improvements while ensuring exceptional client service.

Lead design and delivery of advanced Power BI financial dashboards and AI-driven insights. Build and govern financial data models, integrate multi-source data with SQL and Alteryx, perform monthly reporting and variance analysis, present findings to stakeholders, mentor team members in DAX and data modeling, and drive automation and process improvements in financial reporting.

Perform product and user-behavior analysis to inform product decisions: build dashboards, analyze funnels/cohorts/LTV/retention, design and evaluate A/B tests, create data marts and dimensional models, and coordinate with cross-functional teams to drive engagement and monetisation.

Analyze existing data structures, map to new designs, write user stories and acceptance criteria, document data mappings/transformations, gather requirements, support developers and testers, and run workshops to ensure business-focused delivery.

Perform hands-on data extraction, profiling, cleansing, mapping, analysis and reporting to support business solutions. Identify data inconsistencies, define migration paths, standardize data models, translate business/regulatory needs into data requirements, and support large critical projects across securitisation, credit risk and capital markets domains.

The role involves analyzing transaction and risk data, generating insights, translating them into operational decisions, and evaluating risk controls. The Data Analyst collaborates with various teams to implement data-driven improvements and build dashboards for decision-making.

Manage and maintain Snowflake pricing databases and SQL queries, perform market and competitive pricing analysis, use PriceFx AI and optimization tools to meet pricing KPIs, maintain pricing operations tools, and manage competitor data and web‑scraping pipelines while collaborating with enterprise data teams.

Senior HR Data Analyst responsible for designing and maintaining HR dashboards, conducting statistical analyses, building HR data models, ensuring data governance, and delivering actionable workforce insights to HR leadership to optimize recruitment, retention, compensation, and talent management.

Perform deep-dive analytics using advanced SQL to analyze customer behavior, redemptions, and campaign performance. Build data validation frameworks, ensure accuracy of loyalty and financial metrics, and collaborate with Product, Marketing, and Engineering to validate feature rollouts and deliver data-driven insights.

Support operations teams by preparing and maintaining reports, dashboards, and KPIs; validate and audit operational data; perform ad hoc analyses; assist resource scheduling and project administration; and collaborate with Finance, Sales Operations, and Delivery to improve operational efficiency.

Analyze and interpret large healthcare datasets, build and maintain data pipelines and structures, collaborate with cross-functional teams to deliver actionable insights, and document data processes and analyses.

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

Lead design and implementation of scalable data architectures and pipelines, ensure data quality, build visualizations and dashboards, mentor junior analysts, collaborate with cross-functional teams, and document data dictionaries and processes.

Build and maintain predictive models and scalable BI reporting to improve sales forecasting, pipeline insights, and core sales KPIs. Partner with Sales, Finance, and IT to standardize metrics, transition away from manual forecasting, and deliver repeatable, explainable analytics for proactive decision-making.

Provide product analytics to inform product and growth decisions: analyze funnels, cohorts, LTV, DAU/MAU and retention; design and analyze A/B tests; build dashboards and semantic layers; design data marts and dimensional models; use SQL, Python and BI/product analytics tools; collaborate with cross-functional teams and recommend actions to improve engagement, retention and monetisation.