Top Analyst Jobs in Bangalore

Analyze product and business performance, turn ambiguous questions into structured analyses, build/maintain dashboards, support A/B testing, partner with cross-functional teams, and communicate insights using SQL and spreadsheets.

The Analyst-Risk Management role involves analyzing large data sets to drive credit business decisions, leveraging big data and machine learning solutions.

Own end-to-end workforce and cost analytics: consolidate and validate multi-source data, build repeatable data pipelines, produce Power BI dashboards, run benchmarking and scenario modelling, and translate findings into executive-ready insights while partnering with central teams and regional business partners.

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.

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.

Build and optimize secure, scalable cloud data infrastructure and data products using AWS. Lead software and data engineering initiatives, develop ETL/ELT pipelines, implement engineering standards, deliver projects, and mentor junior engineers. The role requires Python, SQL, infrastructure as code, CI/CD, and cloud-native data engineering expertise, with opportunities to support regulated, multi-region, and multi-currency systems.

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.

Analyze business and operational performance across food delivery, services, and logistics. The role involves querying and validating data, investigating performance trends and root causes, modeling unit economics and profitability, evaluating pricing and promotional impacts, conducting cohort and retention analysis, and translating findings into actionable recommendations for stakeholders.

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 scale transportation analytics and tooling to optimize network performance and reduce shipping costs. Build dashboards, routing/ship-speed optimizers, chargeback/dispute systems, and cost benchmarking engines. Deliver predictive and real-time KPIs, automate processes, improve data accuracy, and provide fast ad-hoc decision support for cross-functional stakeholders.

Support and improve the global pricing management system: manage country price lists, new product and obsolescence pricing, integrations with ERP, implement discount rules, and provide analytics, process, and project support for pricing enhancements.

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.

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.

Embedded at a client office, the Senior Data Analyst will own end-to-end analyses: extract and transform data, write complex SQL, build and maintain Power BI dashboards (DAX, data modelling), ensure data governance and accuracy, translate business questions into analytical frameworks, collaborate with stakeholders, and present insights to technical and non-technical audiences.

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.

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.

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.

The Analyst, Quality Assurance will perform quality reviews on US mortgage processes, analyze data, and recommend improvements while collaborating with management.

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 digital item set-up and e-commerce catalog operations, ensuring accurate product data and imagery. Collaborate with cross-functional teams to maintain product listings, improve customer experience, and support merchandising and online sales initiatives.

Lead design, implementation, and support of Zebra's Customer Master Data Management (CMDM) and connected Salesforce platform. Oversee CMDM agile delivery, Salesforce development (Apex, Lightning, Flows), integrations with Oracle/Siebel systems, data governance, and AI/ML solutions for data matching and enrichment. Drive requirements, testing, enhancements, and cross-team coordination with PMO, QA, and Operations.

Analyze data, produce recurring reports, identify reconciliation and performance issues, and recommend solutions for key ecommerce accounts. The role develops actionable insights, improves reporting, collaborates with cross-functional teams on process and customer experience improvements, and manages projects through completion. Candidates should understand SQL Server, Power BI, ecommerce fulfillment, and third-party logistics operations.

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.

Turn pricing, customer, product, transaction, and market data into actionable insights. Build and validate pricing models, forecasts, segmentation, and scenario analyses. Automate reporting and data workflows using Excel, Python, SQL, and BI tools. Support price forecasting, variance analysis, and commercial performance reviews while partnering with cross-functional stakeholders and documenting methodologies and assumptions.

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