Top Data Analyst Jobs in Bangalore

Lead design and delivery of end-to-end SAP supply chain data migration (MM, PP, WM, SD). Own ETL processes, translate business needs to technical specs, manage data workstreams, ensure quality, troubleshoot migrations, coordinate vendors, and support testing and cutover activities.

Lead design, development, and implementation of SAP data migration solutions for supply chain (MM, PP, WM, SD). Own ETL processes, translate business requirements to technical specs, manage data workstreams and resources, ensure SAP best practices and security, troubleshoot migration issues, coordinate vendors, support profiling/cleansing/validation, and oversee testing and cutover activities.

Analyze large datasets using SQL, build and maintain interactive Power BI/Tableau dashboards, translate business needs into data-driven recommendations, ensure data accuracy and consistency, optimize queries and reporting, and partner with stakeholders to support strategic decisions.

Design and deliver analytics solutions by writing and optimizing complex SQL, building interactive Power BI/Tableau dashboards, performing data analysis to surface insights, working with stakeholders to translate requirements, ensuring data accuracy and performance, and automating reporting and data workflows.

Lead end-to-end people analytics: design, build, and deploy AI/GenAI-augmented analytics products and executive dashboards. Partner with HRIS, IT, and business leaders to ensure data integrity and governance across systems (e.g., Workday, Greenhouse). Develop AI/ML solutions for workforce planning and attrition prediction, translate insights into strategic recommendations for senior leadership, set analytical standards, and upskill stakeholders in responsible AI use.

The Senior Data Analyst will unlock analytics across Okta by managing data lifecycles, developing scalable data models, and partnering with various teams to derive insights and optimize reporting capabilities.

The role involves owning product analytics for Search, designing and interpreting A/B tests, and collaborating cross-functionally to translate data insights into actionable strategies.

Lead governance and configuration of master data domains, manage data quality and resolution, configure MD systems (Winshuttle, JDE, SAP), report MD metrics, analyze data for integrity, and advise stakeholders on process improvements.

Owns configuration, data quality, and issue resolution for one or more master data domains across a complex ERP landscape. Configures MDM applications, Winshuttle scripts, JDE and SAP elements, analyzes and improves data accuracy and integrity, and provides recommendations to partners for process enhancements and seasonal initiatives.

Lead design, implementation and ongoing operations of Master Data Management using Informatica Cloud (IDMC). Manage an MDM team, set MDM policies and governance, implement ITIL service management, build integrations (CDI/CAI), drive CI/CD and automation, engage stakeholders, and identify continuous improvement opportunities while ensuring data quality and regulatory compliance.

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.

The Competitive Data Engineering Manager at eBay leads data pipeline development, integrates third-party data, builds automated dashboards, and drives AI-enhanced reporting. Requires strong data engineering expertise and collaboration across teams.

Responsible for the design, development, and implementation of SAP solutions for data migration in the supply chain domain, ensuring alignment with business objectives and compliance with best practices.

Responsible for designing and implementing SAP data migration solutions in the supply chain domain. Lead ETL processes for various SAP modules and collaborate with stakeholders to ensure successful project delivery.

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 Senior Data Analyst will analyze sales, marketing, and customer success data, develop dashboards, collaborate on strategies, and enhance data infrastructure with a focus on actionable insights.

Lead design and delivery of cloud-native AI and data platforms. Architect and implement scalable ETL/ELT pipelines, manage AI/data infrastructure, mentor junior engineers, enforce development standards, and ensure projects meet timelines, budgets, and quality targets while aligning solutions with product and business objectives.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

Manage and improve customer master data quality across Salesforce and finance systems. Execute data cleansing, enrichment, hierarchy management, reconcile discrepancies, handle governance requests, maintain SLAs, and recommend process improvements with audit-ready documentation.

Lead analytics initiatives to improve selection data quality and availability. Build and maintain ETL pipelines, use SQL and Python/R for analysis, leverage LLMs and prompt engineering to automate catalog tasks, create dashboards for business users, and run simulations for SKU rationalization and replenishment decisions.

Support client-facing advanced analytics projects using Sawtooth and Excel; build analysis plans; deliver maxdiff, conjoint, TURF and other advanced analytics; ensure end-to-end project delivery, process improvement, and stakeholder communication while working US/UK hours.

Design, build, and maintain Qlik-based measurement and reporting solutions; support and enhance in-house tools; produce MIS, communicate with stakeholders, and drive improvements in a health-insurance context.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

The Senior Analyst will own Pricing Tools, manage data governance, drive pricing strategy decisions, execute audits, and enhance operational effectiveness.