Business Analyst

Job Type: Full-time

Experience: 8-10 years

Senior Business Analyst responsible for bridging business and technical teams, owning requirements and delivery outcomes, and operating independently with minimal supervision. The role requires flexibility to support Product Owner or Project Manager responsibilities when needed and the ability to work effectively across different domains and business contexts.

• Lead requirement discovery through workshops, interviews, and analysis.
• Translate business needs into clear specifications, features, and acceptance criteria suited to AI-assisted delivery, while using epics and user stories when that level of detail is required.
• Own and continuously refine the product backlog in collaboration with Product Owners and delivery teams.
• Support iterative delivery using Agile practices, including Scrum and Kanban, with continuous refinement, build, validation, and deployment.
• Analyze current and target-state processes, identify gaps, and recommend practical improvements.
• Manage stakeholder communication and alignment across business, product, engineering, and quality assurance teams.
• Define test scenarios, support User Acceptance Testing (UAT), and maintain traceability from business requirements through delivery.
• Work closely with development and QA teams to clarify requirements and ensure that delivered solutions meet the intended business outcome.

• 8-10 years of experience in business analysis within software or IT delivery environments.
• Strong experience in requirements discovery, analysis, and documentation.
• Ability to define specifications and features with clear, testable acceptance criteria.
• Experience working with epics, user stories, use cases, and product backlogs.
• Strong stakeholder management, facilitation, communication, and presentation skills.
• Hands-on experience with Agile delivery, including Scrum and Kanban.
• Experience with API integrations or API-driven applications.
• Prompt engineering skills to effectively use AI tools for discovery, documentation, analysis, and collaboration.
• Experience planning and supporting test scenarios and UAT.
• Strong analytical, problem-solving, and process-improvement skills.

• Working knowledge of SQL for data validation and analysis.
• Experience with analytics or business intelligence tools such as Power BI or Tableau.
• Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
• Experience evaluating AI-enabled features or collaborating with AI, data, product, and engineering teams.
• Exposure to process modelling techniques such as BPMN.

Bachelor's degree in Engineering, Computer Science, or a related field, or equivalent