NOWE

Middle / Senior Business Analyst

Requirements

• 3+ years of experience as a Business Analyst spanning Finance, Energy, Telecom, Manufacturing, Data, eCommerce, Retail, Transport, or Health sectors.
• Proficient in Agile methodologies (Scrum, Kanban).
• Skilled in managing product backlog, aligning roadmaps with business goals, and stakeholder needs.
• Hands-on experience using AI tools within BA or product workflows: selecting the right tool for the context, output validation, and knowing when to default to manual methods.
• Experienced in front-end and back-end requirements gathering, API integration and UI/UX.
• Expert in workflow mapping, especially for complex workflows involving multiple stakeholders, geographies, and regulatory requirements.
• Proficient in tools like JIRA, Confluence, AzureDevOps or similar.
• Strong written and spoken English (B2)
• Focus on fast, impactful outcomes while considering long-term goals.
• Self-assured in making decisions and providing recommendations; confident in facilitating meetings, challenging the status quo, and advocating for the best possible solutions.
• Proactive self-starter capable of independent task execution and identifying problems and opportunities before they become critical.
• Experience with data analysis and data-driven decision making would be beneficial.

Responsibilities

• Act as the primary point of contact between the development team and client-side stakeholders.
• Systematically integrate AI tools into standard SDLC activities — including requirements drafting, backlog management, research, and documentation.
• Validate all AI-generated output before it reaches any stakeholder so that professional standards are upheld.
• Create workflow diagrams, context diagrams, and other related artifacts.
• Work closely with UX/UI designers to create mock-ups, clickable prototypes, and finalize design specs.
• Manage stakeholder expectations and communication.
• Provide day-to-day support for development and testing teams; facilitate refinement and planning sessions.
• Be involved in working with several teams developing and supporting different projects/software parts in terms of one client or project.
• Identify, document, and communicate potential risks and dependencies that could impact delivery.
• Assist in User Acceptance Testing (UAT).
• Advise clients and internal stakeholders on practical AI capabilities and limitations.