Middle / Senior Business Analyst

Godel Technologies Europe is a company headquartered in Manchester, UK, with over 1.5k employees across Europe and 1.2k in Poland across five offices including Bialystok. They specialize in delivering agile at scale and build mission critical products for leading UK brands. Their clients include SHELL Energy, the Gym Group, Secret Escapes, ao.com, DealTrak, and theidol.com. The company delivers technical skills including software development, artificial intelligence, mobile app development, quality management, platform engineering, data engineering and analytics, UX/UI design, agile software development, product and business analysis, advisory, legacy transformation, and penetration testing.

• Minimum 3 years of experience as a Business Analyst in sectors such as Finance, Energy, Telecom, Manufacturing, Data, eCommerce, Retail, Transport, or Health.
• 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 including tool selection, output validation, and knowing when to use manual methods.
• Experienced in front-end and back-end requirements gathering, API integration, and UI/UX.
• Expert in workflow mapping for complex workflows involving multiple stakeholders, geographies, and regulatory requirements.
• Proficient in tools such as JIRA, Confluence, Azure DevOps or similar.
• Strong written and spoken English (B2 level).
• Focus on fast, impactful outcomes while considering long-term goals.
• Confident in decision making, providing recommendations, facilitating meetings, challenging the status quo, and advocating for optimal solutions.
• Proactive self-starter capable of independent task execution and identifying problems and opportunities early.
• Experience with data analysis and data-driven decision making is beneficial.

• 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 to uphold professional standards.
• Create workflow diagrams, context diagrams, and other related artifacts.
• Work closely with UX/UI designers to create mock-ups, clickable prototypes, and finalize design specifications.
• Manage stakeholder expectations and communication.
• Provide day-to-day support for development and testing teams; facilitate refinement and planning sessions.
• Work with several teams developing and supporting different projects or software parts for 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.