Top Business Analyst Jobs in Bangalore

Analyze payment transaction success rates across merchants, platforms, banks, issuers, payment methods, and industry categories. Identify bottlenecks, failures, latency issues, and anomalies; define and monitor KPIs; create dashboards and reports; conduct root-cause analysis; and collaborate with engineering, banking, product, merchants, and PSPs to improve payment reliability and performance.

Analyze business and product performance for lending and fintech operations. Define critical metrics, monitor trends, translate business problems into analytical questions, conduct deep analysis, and present data-backed insights to stakeholders. Build dashboards and visualizations, influence decisions and metric improvements, and act as an analytics subject-matter expert. The role also includes mentoring analysts and supporting hiring and onboarding.

Analyze lending business problems, define critical metrics, monitor performance, generate insights, and influence product and business decisions through data. Build dashboards and visualizations, manipulate large datasets using SQL, present evidence-based recommendations, and act as an analytics subject matter expert. The role also includes mentoring analysts and supporting hiring and onboarding.

Own analytics for the lending business, defining critical metrics, monitoring performance, translating business questions into analytical problems, and generating data-driven insights. Build dashboards and visualizations, present findings to stakeholders, influence product and business decisions, and contribute as a business owner. The role also involves mentoring analysts and supporting hiring and onboarding.

Own analytics for a consumer payments pod by defining metrics, monitoring performance, translating business problems into analytical questions, and conducting deep analysis. Build dashboards and visualizations, present data-driven insights to stakeholders, and influence product and business decisions. Serve as an analytics and visualization subject matter expert, mentor analysts, and support hiring and onboarding.

Develops business analysis outputs, engineering metrics dashboards, leadership presentations, process documentation, and data-driven recommendations. The role uses SQL, Python, R, ETL pipelines, REST APIs, DOMO, Power Platform, RPA, and approved AI tools to analyze data, automate processes, support UAT, troubleshoot integrations, monitor agile engineering metrics, and improve decision-making while protecting sensitive information.

Supports AI initiative delivery by identifying business opportunities, gathering requirements, translating needs into technical specifications, assessing business value, and coordinating stakeholders, data scientists, engineers, IT teams, and vendors. The role also supports Azure AI solution delivery, data governance, ethical AI compliance, change management, user adoption, documentation, and process optimization.

Supports the enterprise data systems ecosystem by monitoring performance, managing system changes, troubleshooting incidents, resolving data and integration issues, administering access controls, maintaining documentation, and optimizing workflows through SQL, reporting, ETL, and automation tools. The role partners with business and technical teams on implementations, testing, upgrades, training, and continuous improvement.

Analyze business data, build and maintain business models, provide actionable insights and reports, collaborate with cross-functional teams, monitor performance, and recommend efficiency improvements to support strategic decision-making.

Analyze renewal pipelines, customer health, churn, upsell, retention, and business performance using data. Develop forecasts, identify trends and gaps, validate data, recommend action plans, and provide insights to Sales and Customer Success leadership. Drive process improvements, automation, KPI reporting, and cross-functional operational programs while presenting business outcomes to stakeholders.

Produce executive-grade dashboards and reports (Power BI, SSRS), analyze healthcare revenue cycle and financial/operational performance, identify root causes and trends, validate data across sources, and provide data-driven recommendations to Client Services and executive leadership to improve revenue and client outcomes.

Monitor merchant and enterprise transaction systems, alert stakeholders about performance issues and anomalies, analyze large-scale data, build interactive dashboards, identify trends, and collaborate cross-functionally to resolve issues and improve performance.

Conducts due diligence, comparative analysis, reporting, dashboard development, and competitive intelligence for content strategy. The role analyzes content usage, readership, coverage, sources, and partnerships; supports business cases, stakeholder inquiries, process improvements, and ProductBoard content requests. It collaborates with Product, Engineering, Finance, Legal, Operations, Revenue, BI, vendors, and clients to improve content offerings and inform operational and product decisions.

Own business intelligence and strategic analytics initiatives, partnering with executives, operational leaders, Finance, IT, and product teams. Develop market sizing, competitive intelligence, industry analyses, financial and operational models, and executive recommendations. Research and synthesize internal and external information, ensure analytical rigor and data quality, and maintain reusable analytical frameworks. The role requires advanced Excel modeling, structured quantitative reasoning, independent research, and the ability to translate ambiguous business problems into actionable decisions.

Lead sales analytics and revenue operations for B2C sales: build funnel reporting, dashboards (Mode, Hex, Amplitude), run A/B tests, ensure data quality, and partner on comp, headcount, and finance models. Integrate AI tools to accelerate analysis and automate workflows; work onsite in Bangalore night shift.

Analyzes business and credit problems, coordinates data preparation, generates insights, recommends data-driven actions, influences stakeholders, and measures post-implementation impact. The role partners with leadership, credit, product, and data teams to support business growth and requires strong SQL, Python or R, and Excel skills.

Owns forecasting, performance reporting, commercial analysis, demand planning, assortment recommendations, markdown analytics, and inventory productivity for the India business. The role develops dashboards and KPIs, analyzes SKU-level forecasts and product performance, identifies risks and opportunities, and recommends actions. It partners with Sales, Marketing, Finance, Operations, Logistics, and regional teams while improving planning processes, data quality, automation, and fact-based decision-making.

Develops Power BI dashboards, reports, data models, DAX calculations, and analytical solutions. Translates client business requirements into KPIs, workflows, and actionable insights; assesses data quality; optimizes report performance; and presents findings through visualization and storyboarding. Collaborates with data scientists, engineers, and stakeholders to integrate analytics into business processes.

Leads enterprise MDM and PIM implementations by facilitating discovery, documenting requirements, designing data governance and migration strategies, configuring platforms, and managing UAT. Profiles legacy data, defines mappings and quality rules, maintains traceability, coordinates stakeholders and vendors, manages scope and defects, creates documentation, and trains client teams. The role requires rapidly mastering MDM platforms, using AI tools responsibly, and translating technical constraints into business terms.

As a Senior Business Systems Analyst, you will define system goals, capture business requirements, and work with engineering teams on SFDC implementations.

Business Analyst gathers and governs requirements, maps business processes and data flows, defines KPIs and data-quality rules, maintains data catalogs and metadata, and advises stakeholders on solutions. The role translates requirements into functional specifications, user stories, and acceptance criteria; leads UAT planning, defect triage, and business sign-off; and coordinates testing, deployment, and implementation. Experience with SAP, cloud data platforms, dbt, data lineage, APIs, and AI-assisted delivery tools is advantageous.

Partners with stakeholders to define BI requirements and builds interactive Tableau dashboards using Snowflake data. Automates reporting workflows with SQL and Python, applies AI tools and machine learning capabilities to generate insights, and promotes AI-forward analytics standards. Contributes to customer experience BI frameworks, collaborates cross-functionally, maintains data quality, and manages multiple analytics projects while communicating findings to technical and non-technical audiences.

Develops and maintains business intelligence reports, dashboards, data models, and visualizations using Power BI, DAX, SQL, and enterprise data platforms. Extracts, transforms, validates, and analyzes data to generate actionable insights and support decision-making. Collaborates with stakeholders to gather reporting requirements, communicates findings, supports data governance, and improves reporting processes through automation and emerging technologies.

Lead business intelligence and analytics for the Revenue Organization, partnering with Sales, Marketing, Customer Success, RevOps, and Finance. Own KPI frameworks, executive dashboards, self-service reporting, advanced SQL analysis, data quality, and analytical requirements. Enable stakeholders to use data and AI effectively, integrate LLM tools into BI workflows, support data modeling and governance, and manage analytics projects from requirements through adoption.

The description provides company and Global Capability Center context but does not specify the Business Analyst role’s responsibilities, qualifications, technologies, compensation, travel, or clearance requirements. The position appears to support globally integrated teams and business functions including Finance, HR, Procurement, IT, and Operations.