Top Analyst Jobs in Bangalore

Lead business analysis for application, data, ML and BI delivery projects. Elicit and document requirements, manage Agile backlogs and ceremonies, coordinate AWS migration/data engineering efforts, analyze large datasets, produce reports and presentations, and communicate risks and progress to stakeholders.

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.

Design, build, and maintain Azure-based ETL/ELT data pipelines using PySpark and Spark SQL. Orchestrate data workflows (ADF/Databricks), implement hybrid integrations, optimize Spark jobs, ensure data quality/governance, support CI/CD, and troubleshoot pipeline issues in collaboration with analytics and business teams.

Design, build, and maintain Snowflake/dbt data pipelines and models powering customer experience analytics. Write production SQL and Python, implement dbt tests and data quality checks, integrate with GCP and downstream BI (Power BI), and contribute to AI/LLM integration and tooling adoption.

Lead end-to-end process mapping and analysis using BPMN and process/task-mining tools to identify inefficiencies, create As-Is/To-Be documentation, define BRDs, model future-state scenarios, and drive cross-functional implementation with executive reporting.

The Data Analyst Supervisor leads AI-enabled analytics and automation for Internal Audit, ensuring audit execution through data analysis, automation solutions, and stakeholder engagement. Responsibilities include designing audit analytics, testing routines, developing dashboards, and facilitating knowledge sharing within the audit team.

The Senior Analyst - SAP Finance Product Costing will lead multiple projects in supply chain finance, ensuring successful implementation and business agility while applying strong analytical skills.

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.

Responsible for the design, development, and implementation of SAP solutions for data migration in the supply chain domain, ensuring alignment with business objectives and compliance with best practices.

Responsible for designing and implementing SAP data migration solutions in the supply chain domain. Lead ETL processes for various SAP modules and collaborate with stakeholders to ensure successful project delivery.

The Lead Data Analyst role involves leading data architecture development, data quality assurance, integration, and operational excellence while collaborating with cross-functional teams and managing data projects.

The Senior Network Data Analyst will design and maintain data architecture, transform legacy data into standardized models, resolve anomalies, and support automation pipelines.

The Senior Observability Analyst will lead observability strategies, manage complex incidents, mentor junior members, and enhance operational excellence for IT services.

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

As a Snowflake Senior Analyst, you'll design and implement analytic solutions, develop data models, manage data engineering lifecycles, and enhance client relationships.

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.

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.

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.

Collect, clean, and validate data from multiple sources; analyze trends and KPIs; prepare reports and dashboards; support BI development; perform ad-hoc analyses; ensure data integrity and documentation; collaborate with stakeholders to improve operational performance.

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.

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.

Support pricing processes by compiling and validating data, updating pricing systems, assisting with pricing scenarios, coordinating with pursuit teams, and applying knowledge of pricing components and cost drivers.

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

Responsible for designing, building, and maintaining integration flows on SAP Integration Suite, orchestrating data pipelines with Apache Airflow, and optimizing backend pipelines using Python and SQL. Partner with business teams to define integration standards, develop APIs and automation tools, deliver MVPs, and ensure robust, scalable connectivity between SAP and non‑SAP systems.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.