Top Business Analyst Jobs in Bangalore

Deliver complex data analysis and BI solutions to support GTM decisions. Build and maintain Snowflake/DBT data models, automate reporting, develop Streamlit and Python tools, manage analytics projects, collaborate with stakeholders, and apply Gen AI and advanced analytics to optimize forecasting and processes.

The Business Analyst will elicit client requirements, create user stories, facilitate communication between stakeholders, and support project and testing activities in the financial sector.

The Enterprise Business Analyst will gather business requirements for ecommerce and customer service, focusing on process improvement and stakeholder engagement.

Lead multiple projects overseeing requirements to deployment, develop automation tools with Python and Selenium, and process unstructured data for insights. Create dashboards and apply statistical modeling to forecast trends.

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

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.

As a Business Analyst II, you'll bridge business needs with technology, collaborating on requirements gathering, process improvement, and project implementation in an agile environment.

The Business Analyst will reconcile healthcare data, investigate exceptions, analyze business processes for improvements, and support management reporting. They will collaborate with teams to enhance workflow efficiency while ensuring compliance with healthcare regulations.

The Business Analyst will improve processes and systems by conducting research, facilitating business process design, and analyzing industry positions to align business needs with objectives while collaborating with various stakeholders.

As a Business Analyst, you will engage with onshore teams, translate business issues into requirements, document functional designs, and assist testing teams with test scenarios.

The Digital Business Analyst will gather requirements, conduct gap analyses, and implement Adobe Experience Cloud solutions for enhanced customer experiences.

Lead enterprise data strategy, governance, and standards; translate business needs into scalable data solutions; drive cross-domain analytics, data quality, and operational excellence; mentor team members and enable business adoption of data deliverables aligned to measurable value.

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.

The Business Analyst will support strategic initiatives through data analysis, dashboard development, and operational reporting to improve business performance and customer outcomes.

The Business Analyst will utilize data analysis to optimize processes, support decision-making, and maintain operational workflows while working with various data analytics tools.

The role involves developing and managing product requirements for Performance Analytics, collaborating with various teams, driving efficiency, and ensuring product readiness.

Analyze large datasets, build ETL processes, create dashboards and data visualizations (Tableau) and present actionable insights to program leadership. Collaborate with stakeholders to define requirements and support data-driven decision making.

Lead analytics and optimization of the full RCM lifecycle (eligibility, billing, denials, collections). Build dashboards, perform variance and root-cause analyses, drive cash collections, support audits and payer contract reviews, and translate data into actionable insights for leadership.

The Business Analyst will define and implement incentive compensation strategies, integrate data for accurate calculations, and drive discussions on functional requirements in the healthcare domain.

Support account managers with P&L, budgeting, forecasting, and financial performance analysis. Prepare, validate, and distribute MIS reports and dashboards. Develop business decks and executive presentations, track KPIs, identify risks/opportunities, and assist budgeting and account governance. Coordinate with operations, finance, and delivery teams and handle day-to-day account communication and escalations.

Partner with Data Owners, Data Stewards, and Digital/IT to improve Customer, Vendor, and Material master data. Drive MDM processes, data governance, and data quality programs. Document requirements, BRDs, user stories, process maps, and fit-gap analysis. Support SAP (SD, MM, FICO) integrations, MDM projects, testing (SIT/UAT), training, change management, and post-go-live support.

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.

Own and produce analytics-ready credit risk datasets and reusable data assets. Build optimized SQL transformations and automated Tableau Prep pipelines. Support Python-based data wrangling, validation, and root-cause analysis. Document data lineage, ensure data quality and controls, and collaborate with risk, analytics, finance, and technology stakeholders to drive reliable risk reporting.

The Senior Business Analyst collects, analyzes, and presents data to support business decision-making, reporting, and strategic planning within the organization.

Support cross-functional teams by collecting, cleaning, and analyzing large datasets; perform EDA; build and maintain dashboards and reports; assist with data pipelines and API integrations; apply statistical methods to solve business problems; handle ad hoc requests and present findings to technical and business audiences while experimenting with AI tools.