Top Analyst Jobs in Bangalore

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 Staff Sales Operations Analyst provides support for business intelligence tools, develops backend database solutions, and handles data requests. Requires strong SQL, Python, and ETL skills.

The Competitive Data Engineering Manager at eBay leads data pipeline development, integrates third-party data, builds automated dashboards, and drives AI-enhanced reporting. Requires strong data engineering expertise and collaboration across teams.

Design and deliver advanced Power BI financial dashboards with AI-driven insights; build and govern data models and ETL (Alteryx/SQL); produce monthly management reporting, variance analysis, KPI monitoring, and lead process automation and stakeholder presentations.

Deliver complex analytics using Databricks, Snowflake, SQL, and Python to analyze large datasets, validate data products, assess model precision/recall, and present actionable insights to Product Owners and Data Scientists. Support data preparation, quality assurance, stakeholder communication, and continuous improvement of data products.

Design, build, and govern HSW data solutions and analytics; deploy AI and automation into HSW processes; produce Power BI dashboards and regular reports; support Cority operations; drive data strategy, governance, and actionable insights to improve safety and operations.

Perform end-to-end analytics for lending pod: define metrics, translate business problems into analytical questions, generate insights, build dashboards, present findings, and mentor junior analysts.

Design semantic data layers, build production-grade data pipelines and analytical datasets, create dashboards and visualizations, implement data quality and validation, leverage AI tools to accelerate development, and collaborate with stakeholders to deliver governed, scalable analytics solutions.

Partner with Product Managers to define success metrics and influence roadmap decisions by turning product, customer, operational, and financial data into actionable insights. Own and evolve product analytics (Pendo), build self-service dashboards and visualizations, coach product teams on analytics best practices, identify trends and growth opportunities, and deliver executive-ready recommendations to drive product strategy and measurable outcomes.

Lead end-to-end analytics projects to turn data into decisions: build dashboards, diagnose trends, provide prescriptive recommendations, and partner with Product, Growth, Credit, and Leadership to drive high-impact business outcomes.

Perform end-to-end analytics: build dashboards, diagnose trends, and deliver prescriptive recommendations. Lead analytics projects cross-functionally to influence KPIs, product, growth, credit, and fraud strategy.

Analyze internal and external data to drive portfolio sales performance and renewals, identify up-sell and cross-sell opportunities, support go-to-market initiatives, collaborate with Sales/Marketing/Operations to deliver insights and account planning, prioritize analysis requests, and report on success metrics and impact.

Support revenue and pricing strategy through modeling, analytics, and econometrics. Assist in setting deal and product pricing, create standard offers, and capture value. Perform routine analytical tasks and process improvements under supervision, working on limited-scope projects and following established procedures.

Coordinate data uploads into SuccessFactors, manage organizational changes, analyze and validate data for system updates, and support compliance with data governance.

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

The Senior Market Data Analyst will manage market data inventory, process invoices, assist in documentation, and contribute to data analysis while ensuring exceptional client service.

Lead design and delivery of advanced Power BI financial dashboards and AI-driven insights. Build and govern financial data models, integrate multi-source data with SQL and Alteryx, perform monthly reporting and variance analysis, present findings to stakeholders, mentor team members in DAX and data modeling, and drive automation and process improvements in financial reporting.

Lead fundamentals coverage for base metals by combining production, trade, and consumption data into consistent supply-demand models. Maintain daily upstream material models, validate multi-source data, analyze production and capacity trends, contribute to price forecasts, and produce timely market commentary while collaborating with analysts, editors, and commercial teams.

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.

Lead design and delivery of cloud-native AI and data platforms. Architect and implement scalable ETL/ELT pipelines, manage AI/data infrastructure, mentor junior engineers, enforce development standards, and ensure projects meet timelines, budgets, and quality targets while aligning solutions with product and business objectives.

Conduct quantitative and qualitative research on global commodities and shipping flows, analyze vessel movements and trends, maintain and develop market models, build Excel and Power BI models, produce reports and presentations, and communicate market insights to internal and external stakeholders.

Lead research and analysis of global commodities and shipping markets, focusing on vessel movements and trade flows. Collect and manipulate data, perform quantitative and qualitative analysis, build and maintain market models, develop Excel and Power BI models, improve Workspace analytical tools, and produce reports and presentations communicating market insights and recommendations.

Builds and maintains global Workday HR reporting infrastructure: gathers requirements, develops custom reports and dashboards, tests and validates solutions, supports UAT, mentors peers, handles ad-hoc data requests, and improves report performance and user adoption across HR teams.

Analyze existing data structures, map to new designs, write user stories and acceptance criteria, document data mappings/transformations, gather requirements, support developers and testers, and run workshops to ensure business-focused delivery.