Top Analyst Jobs in Bangalore

Support Wholesale Lending Services business leads by delivering dashboards, management and operational reporting, ad hoc analytics, and decision-support. Prepare executive presentations, drive process improvements, liaise on control and audit matters, and use multiple data sources and tools to inform business priorities.

Maintain and govern enterprise master data by defining standards, integrating systems, supporting SAP MDM/MDG users, translating business needs into technical designs, training users, coordinating consultants, and improving data lifecycle and system configurations.

Maintain accuracy, governance, and lifecycle of enterprise master data in SAP environments. Define data standards, map system integrations, support global SAP MDG/MDM users, collaborate with Supply Chain/Finance/IT, design technical solutions, provide training, coordinate consultants, and ensure data quality and system controls.

Lead fraud risk analyst who builds early-warning systems, detects transactional anomalies, analyzes merchant behavior, designs monitoring strategies, partners cross-functionally, maintains queries and visualizations, and takes action to mitigate fraud and credit risk.

Perform product and business analytics: translate open-ended questions into hypotheses, analyze funnels and retention, run experiments, build dashboards and pipelines, collaborate with engineering and product, and deliver AI-enabled analytics to drive measurable business outcomes.

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

Deliver and maintain sales intelligence reporting and dashboards by extracting, transforming, and validating data from warehouses and CRMs. Support request intake, prioritize analyst tasks, ensure data accuracy, and translate complex data into clear visualizations for sales and cross-functional stakeholders.

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

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

Build and maintain automated data pipelines from Salesforce, NetSuite, Adaptive Insights, OpenAir, and other systems into a central database. Turn business requests into technical specs, author Claude-based skills and dashboards, ensure data quality (validation, deduplication, monitoring, documentation), troubleshoot integrations, and partner with Sales Ops, Finance, and Services to deliver decision-ready intelligence.

Support Risk Management & Compliance Chief Data Office by implementing and maintaining the Data Quality Framework, managing project plans, monitoring milestones, reporting status to stakeholders, preparing presentations, documenting processes and controls, and driving operational improvements across RM&C data initiatives.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

Build and maintain Salesforce reports and dashboards, deliver ad-hoc and periodic analytics and account mapping, support Business Development programs for partner engagement, and collaborate with cross-functional BI, Sales Ops, and Marketing teams to drive insights and operational improvements.

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.

The Senior Business Analyst drives operational improvements and enhancements for the Ecolab Everyday product suite, ensuring stakeholder alignment and quality requirements across global teams.

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.

Lead KYC pipeline Run-the-Bank and BAU operations, manage team allocation and query resolution, monitor SLAs and exceptions, and drive change initiatives. Collaborate with stakeholders to translate business logic into data algorithms. Develop and optimize T-SQL stored procedures, functions, triggers, and views for pipeline reporting and analytics, while supporting future-state data strategies, governance, and process improvement.

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.

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.

Build AI-enhanced Tableau dashboards and BI reports using Snowflake, SQL, and Python. Partner with stakeholders to define metrics and requirements, automate recurring analytics workflows, and deliver actionable insights. Apply AI/ML capabilities for trend detection, anomaly identification, sentiment analysis, and natural-language summaries. Establish best practices for AI-assisted BI development, collaborate cross-functionally, and support CX BI frameworks while maintaining data quality and timely delivery.

Analyzes sales execution KPIs, brand performance, market trends, and large commercial datasets. Develops recurring reports, validates and maintains data sources, delivers ad hoc analysis, and translates findings into actionable recommendations. Collaborates with Sales, Marketing, Finance, and other stakeholders to support commercial decisions, improve data quality, optimize reporting, and advance enterprise analytics initiatives.

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.

Develop and maintain analytics solutions for Canada Operations, including dashboards, reports, data models, pipelines, and documentation. Translate business needs into analytics requirements, manage large datasets, validate deliverables, and provide actionable insights to stakeholders and senior leaders. The role also involves presenting findings, supporting analytics initiatives, training users, and collaborating across teams to improve operational performance.

Leads credit data remediation and governance for FR Y-14 regulatory reporting. Gathers requirements, analyzes data quality issues, performs root-cause analysis, defines remediation initiatives, supports testing and validation, documents lineage and metadata in Collibra, and collaborates with Finance, Regulatory Reporting, Engineering, Architecture, and Operations teams. The role also supports data modernization, cloud migrations, regulatory responses, governance controls, and Agile delivery.