Dev Business Analyst

We are looking for a motivated and detail-oriented Business Analyst with 3+ years of experience to join our team. The ideal candidate will work closely with business stakeholders, development teams, QA teams, and US-based teams to gather and analyze requirements, assess business processes, and support the successful delivery of software solutions. The role will also use AI-powered productivity tools to improve requirements documentation, analysis, stakeholder communication, and process-improvement activities.

• 3-5 years of experience in a Business Analyst or comparable requirements-focused role.
• MBA in Information Technology, Information Systems, Business Analytics, or an equivalent qualification.
• Strong understanding of business processes, requirements elicitation, analysis, documentation, validation, and change management.
• Experience preparing BRDs, FSDs, user stories, acceptance criteria, use cases, test scenarios, and process-flow diagrams.
• Understanding of requirement traceability and the ability to maintain alignment among business objectives, requirements, solution behavior, and test coverage.
• Familiarity with Agile methodologies and SDLC practices.
• Basic knowledge of SQL, APIs, ERP systems, integrations, or data analytics tools.
• Proficiency in Microsoft Excel, Word, and PowerPoint; familiarity with Jira and Confluence is preferred.
• Ability to prepare process-flow diagrams and reports using tools such as Lucid chart; familiarity with UML is an advantage.
• Basic understanding of Generative AI, Large Language Models (LLMs), prompt design, and AI-powered business applications.
• Familiarity with Microsoft Copilot, ChatGPT Enterprise, or comparable approved enterprise AI productivity tools.
• Ability to use AI tools appropriately for requirements documentation, meeting summarization, research, analysis, and communication while independently validating generated content.
• Awareness of responsible AI concepts, including privacy, security, transparency, human oversight, and potential bias.
• Excellent written and verbal English communication, documentation, facilitation, and stakeholder-management skills.
• Analytical mindset with strong problem-solving, attention to detail, and the ability to manage multiple priorities.

• Experience in requirements analysis or process improvement within ERP or enterprise application environments.
• Exposure to Configure, Price, Quote (CPQ) processes is a plus.
• Exposure to process-modeling tools, BPMN concepts, or UML diagrams.
• Familiarity with Power BI, Tableau, or similar reporting and visualization tools.
• Experience using AI-assisted productivity tools to improve analysis, documentation, and stakeholder communication.
• Exposure to intelligent automation, workflow optimization, process mining, or AI-enabled business applications.
• Experience in creating business use cases, requirements, user stories, acceptance criteria, and UAT scenarios for AI or automation solutions.
• Basic familiarity with prompt-writing techniques for business analysis and productivity use cases.
• Awareness of AI governance, data privacy, explainability, and risk-management practices.
• Certifications such as ECBA, CCBA, CBAP, PMI-PBA, Microsoft AI-related credentials, or equivalent professional certifications are a plus.

• Strong interpersonal, collaboration, presentation, and stakeholder-engagement skills.
• Clear, structured, and concise written and verbal communication.
• Curiosity and willingness to learn emerging technologies and AI-enabled business capabilities.
• Critical thinking and sound professional judgment when working with AI-generated information.
• Self-motivated, adaptable, organized, and comfortable working in cross-functional teams.
• Ability to work independently while maintaining effective collaboration with global stakeholders.

Department: Development

Employment Type: Full Time

Location: Hyderabad

• Collaborate with business users and stakeholders to gather, analyze, validate, and document business and functional requirements.
• Translate business needs into Business Requirement Documents (BRDs), Functional Specification Documents (FSDs), user stories, acceptance criteria, use cases, and supporting process documentation.
• Facilitate requirement workshops, stakeholder discussions, and review sessions to clarify scope, assumptions, dependencies, and expected outcomes.
• Create and maintain process-flow diagrams, business process models, requirement traceability matrices, data mappings, and other analysis artifacts.
• Analyze current-state business processes, identify gaps and improvement opportunities, and recommend practical future-state solutions aligned with business objectives.
• Support project teams throughout the Software Development Life Cycle (SDLC), particularly during requirements, design clarification, testing, implementation, and post-release validation.
• Participate in Agile ceremonies such as backlog refinement, sprint planning, daily stand-ups, sprint reviews, and retrospectives.
• Support User Acceptance Testing (UAT) by preparing business scenarios and test cases, validating expected outcomes, tracking defects, coordinating clarifications, and confirming fixes.
• Communicate effectively with developers, QA teams, product owners, project managers, and business stakeholders to ensure shared understanding of requirements.
• Work collaboratively with US-based teams and provide necessary support across time zones.
• Use AI-powered tools, such as Microsoft Copilot or approved enterprise AI assistants, to support meeting synthesis, research, requirements refinement, documentation, and stakeholder communication.
• Assist in identifying suitable opportunities for AI-enabled process improvements, workflow automation, and decision support.
• Support the definition of business requirements, user stories, acceptance criteria, data needs, process controls, and success measures for AI-enabled features.
• Review AI-generated outputs for accuracy, completeness, relevance, consistency, and alignment with approved business requirements, with appropriate human oversight.
• Consider data privacy, security, transparency, responsible AI, and governance requirements when supporting AI-related business use cases.