Top Data Analyst Jobs in Bangalore

Lead data strategy and governance for Coupang’s Retail and Selection team. Architect ETL pipelines, improve data integrity, and use SQL, programming, LLMs, and prompt engineering to automate catalog and vendor-data analysis. Build decision models, simulations, dashboards, and knowledge-management systems supporting selection, pricing, and inventory decisions. Translate findings for executives, train business users, and mentor analysts.

Supports data engineering initiatives that make raw data usable and accessible. Works on moderately complex projects, applies technical concepts to identify solutions, resolves technical issues, and contributes to data acquisition, integration, provisioning, analytics platforms, and business intelligence capabilities.

Ensures sales deal data accuracy, completeness, and integrity through profiling, validation, cleansing, standardization, reconciliation, and root cause analysis. Reviews sales classifications, renewal data, contract values, dates, and deal attributes. Documents quality rules and collaborates with Sales, Finance, IT, and other stakeholders to resolve issues and improve data governance. The role also supports automation and reporting using Excel, SQL, Power Query, dashboards, and CRM data.

Manage and govern customer master data across Salesforce and related systems. Responsibilities include maintaining account hierarchies, consolidating accounts, merging contacts, preventing duplicates, creating trusted golden records, conducting data quality audits, remediating issues, and collaborating with Sales, Operations, and Technology stakeholders. The role also supports data governance standards, stewardship practices, reporting, and process improvements.

Build predictive models, forecasting frameworks, BI dashboards, and scalable reporting for sales performance. Analyze pipeline, funnel, revenue, and KPI data to identify trends, risks, and leading indicators. Partner with Sales, Finance, IT, and Sales Operations to standardize metrics, improve forecast accuracy, replace manual Excel processes, and create explainable single-source-of-truth reporting. The role also documents methodologies, supports data architecture decisions, and mentors Data and Sales Analysts.

Deliver complex analytics using Databricks, Snowflake, SQL, and Python to analyze large datasets, validate data products, assess model precision/recall, and present actionable insights to Product Owners and Data Scientists. Support data preparation, quality assurance, stakeholder communication, and continuous improvement of data products.

Support RegTech data-quality operations: develop and maintain Collibra DQ rules, run reconciliations, investigate data issues, validate changes, automate checks with Python, analyze large datasets using SQL and Snowflake, document procedures, gather data requirements, and produce regular data-quality reporting.

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.

Collects, cleans, organizes, and analyzes datasets; develops dashboards and reports; supports data governance, integrity, security, and workflow automation; and collaborates with teams to provide insights and improve data-driven decision-making.

Build and maintain scalable data pipelines and ETL/ELT workflows on Google Cloud Platform. Ingest data into the enterprise data lake, primarily managing the bronze layer of a medallion architecture. Analyze legacy systems, document data flows, validate transformations with SQL, support data quality and governance, and collaborate with business stakeholders and technical teams to modernize data platforms.

Build and optimize cloud-native data products and infrastructure for UAE operations. Develop scalable ETL/ELT pipelines, write production-quality Python and SQL, manage AWS services and infrastructure as code, and support secure, compliant data solutions. Provide technical leadership, mentor junior engineers, execute software projects, establish development standards, and collaborate with senior stakeholders. Experience with APIs, CI/CD, regulated environments, agile delivery, and multi-region systems is beneficial.

Executes daily master data operations across item, supplier, finance, and customer domains. Investigates incidents, resolves data issues, performs validation and cleansing, supports governance and compliance controls, monitors SLAs, and provides business-user support. The role also conducts root cause analysis, maintains KPIs and documentation, supports testing and data migrations, and contributes to MDM projects and continuous improvement initiatives.

Executes day-to-day master data operations across item, supplier, finance, customer, and other domains. Investigates incidents, resolves work requests, performs data validation and cleansing, maintains governance standards, supports business users, monitors SLAs, and conducts root cause analysis. The role also contributes to KPI reporting, process improvement, testing, documentation, data migrations, and MDM projects while collaborating with global business, IT, and data stewardship teams.

Execute daily master data operations across item, supplier, customer, finance, and other domains. Investigate incidents, fulfill requests, resolve data quality issues, perform root cause analysis, and meet SLA commitments. Support governance, validation, cleansing, reporting, audits, testing, documentation, process improvements, data migrations, and MDM projects. Partner with business users, data stewards, IT, and external teams across a global organization.

Perform data analysis to generate insights and support decision-making. Design and execute analysis projects, collaborate with cross-functional teams, implement best practices, troubleshoot issues, document processes, and ensure data accuracy and reliability.

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.

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.

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.

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.

Support the InSight Program through data analysis, dashboards, field-data troubleshooting, technology product development, automation, ETL infrastructure, visualizations, survey tools, and partner coordination. The role also contributes to regional expansion planning, pilot evaluation, process design, and documenting lessons learned. Responsibilities combine analytics, cloud technology, program operations, and stakeholder management to scale community-led vision-care interventions.

Supports client operational and analytical processes by executing procedures, validating deliverables, identifying process improvements, coordinating stakeholders, testing updated workflows, documenting operational models, researching issues, and investigating client questions. Collaborates with senior analysts, delivery leads, engineering teams, and internal stakeholders to provide accurate, timely client results across multiple tasks and time zones.

Supports client operations through data analysis, process execution, quality validation, reporting, secondary research, and investigation of client questions. The role coordinates stakeholders across time zones, documents and tests operational procedures, identifies process improvements, and collaborates with engineering and delivery teams to ensure accurate, timely client deliverables.

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.

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