Top Analyst Jobs in Bangalore

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.

Analyze and mitigate payment and account fraud by monitoring transactions, investigating suspicious activity, escalating cases, and recommending controls. Collaborate with cross-functional teams to improve detection rules and reporting to reduce fraud losses and operational risk.

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.

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.

Manage and optimize data processes, ensuring quality and accuracy in financial data delivery, while enhancing operational efficiency. Act as a domain expert, build relationships with clients and teams, and support projects as assigned.

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

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 Analytics Engineer will build analytics solutions for cloud costs and infrastructure utilization, develop data pipelines, and provide insights into operational efficiency and cost optimization for cloud services.

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.

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 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.

Design, build, and maintain scalable ETL/ELT data pipelines integrating CRM, CDP, ad servers, web analytics, and transaction systems. Develop data models and analytical datasets to support MMM, MTA, audience measurement, and customer analytics. Ensure data quality and governance, optimize workflows with Python and SQL, and collaborate with data science and business teams on cloud-based data platforms.

Support People Analytics by processing and analyzing HCM data, maintaining dashboards, producing reports and visualizations, tracking headcount, and partnering with senior stakeholders to inform workforce planning and compensation decisions.

Support Data Scientists and Product Owners by preparing and analysing large datasets using tools like Databricks and Snowflake. Produce metrics (precision/recall), create datapreps, surface insights via dashboards, and communicate findings to stakeholders while following Agile practices.

Analyze Sprinklr platform data to generate actionable customer insights and recommendations for marketing, brand, product, and customer service. Own client communication and deliverables, synthesize quantitative and qualitative analysis into executive-ready reports, track social media trends, and design KPI-driven frameworks and presentations.

Collect, validate, and maintain fixed-income and government securities data (Indonesia Government instruments and Mergent US Treasury). Ensure data accuracy and timeliness, research market events and issuer information, resolve discrepancies, support coverage expansion, collaborate with global teams, and identify process improvements and automation opportunities.

Lead enterprise data governance, quality, and analytics initiatives across business functions and geographies. Define data strategies, run data discovery and root-cause analysis, implement data quality metrics and remediation, support S/4 HANA migrations, and enable trusted data for analytics and digital platforms while influencing cross-functional stakeholders and driving measurable process and data improvements.

Lead data governance and analytics workstreams to improve master and transactional data quality across ERP systems (SAP ECC/S4 HANA), drive process efficiency (Quote-to-Cash, Plan-to-Produce, Source-to-Pay, Record-to-Report), implement data quality metrics and remediation, enable data migration and integration, and present insights to influence cross-functional stakeholders and leadership.

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.