Senior Business Analyst with AI Knowledge

Responsibilities

• Define and frame business problems, clarify ambiguity, and establish measurable outcomes
• Challenge assumptions and uncover implicit needs
• Translate needs into clear, testable requirements (functional and non-functional)
• Drive stakeholder alignment and influence decisions
• Leverage AI tools and prompt-based workflows to support analysis and documentation
• Create specifications such as user stories, use cases, and acceptance criteria
• Perform data analysis to support decisions and validate assumptions
• Collaborate with engineering teams, subject matter experts, and stakeholders
• Comprehend system behaviour, data flows, and architecture
• Manage scope, risks, and dependencies to ensure project success
• Support testing and user acceptance testing (UAT) to guarantee solution quality
• Maintain ownership of domains while adapting to evolving project needs

Requirements

• 4+ years of experience in Business Analysis, with demonstrated success in diverse projects
• 1+ years of hands‑on experience working with AI tools or AI‑driven solutions
• Background in requirements elicitation and stakeholder facilitation
• Proficiency in Agile (Scrum, Kanban) or Waterfall methodologies, including familiarity with Scrum Master responsibilities
• Competency in diagramming techniques such as UML and BPMN
• Knowledge of UX/UI principles, estimation methods, and testing practices
• Showcase of practical use of LLMs, prompt engineering, and understanding AI/ML fundamentals
• Understanding of data flows, APIs (REST, JSON), and ability to articulate key AI concepts such as Agentic AI and AI feedback loops
• Proficiency in requirement management tools like Jira, Confluence, and Miro
• Familiarity with data analysis and validation methods
• Strong analytical thinking combined with structured problem‑solving skills
• Capability to influence stakeholders in complex environments and drive clear communication in technical and business contexts
• Flexibility to work independently and in hybrid or office‑based setups
• English language proficiency at B2+ level

Nice to have

• Background in Engineering or Computer Science
• Experience with AI integrations or solutions via APIs
• Proficiency in SQL and data analysis tools (e.g., Python, Databricks)
• Understanding or usage of data visualization tools like Power BI or Tableau
• Relevant certifications such as BA, Scrum, or Product Ownership
• Ability to work effectively under pressure in scope‑controlled environments
• Showcase of discovery or pre‑sales expertise

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