Senior Business Analyst

Responsibilities

• Collaborate with business stakeholders, product owners, and technical teams to gather, analyze, and document business requirements.
• Conduct requirement workshops, stakeholder interviews, and discovery sessions to understand business processes and system needs.
• Translate business requirements into functional specifications, user stories, and acceptance criteria for Salesforce implementations.
• Analyze and document current-state (As-Is) and future-state (To-Be) business processes using process flow diagrams and documentation.
• Work with Salesforce developers and architects to ensure the functional feasibility of requirements.
• Configure and validate Salesforce components (objects, fields, workflows, validation rules, reports).
• Support UAT (User Acceptance Testing) by preparing test scenarios, validating business requirements, and coordinating with business users.
• Ensure data integrity, governance, and compliance within Salesforce implementations.
• Assist in data migration validation, data mapping, and integration requirement documentation.
• Maintain project documentation including BRD (Business Requirement Document), FRD (Functional Requirement Document), process flows, and user stories.
• Create and manage test plans, test scenarios, and test cases.
• Perform functional, integration, system, and regression testing for Salesforce applications.
• Validate Salesforce functionalities including Standard and Custom Objects, Fields, Page Layouts, Validation Rules, and automation using Salesforce Flow (Flow Builder).
• Test Lightning components, Apex functionality, and Visualforce pages.
• Perform data validation and data integrity testing.
• Validate integrations with external systems (APIs, middleware, ETL tools).
• Execute end-to-end testing across Sales Cloud, Service Cloud, or other modules.
• Log, track, and manage defects using tools like JIRA.
• Support and coordinate UAT cycles and release validation.
• Ensure quality of deployments, configuration changes, and metadata updates.
• Maintain QA documentation including test results and defect reports.
• Use AI-powered tools for requirement analysis, test case and data generation, test optimization, and AI-assisted defect analysis to improve quality and resolution time.
• Ensure delivery with a focus on speed, clarity, and quality by effectively leveraging AI support.
• Actively adopt AI-driven practices and contribute to continuous improvement initiatives.