Senior Business Analyst

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: Defining the approach to business analysis within the project, setting the direction and ensuring alignment with business goals. Participating in large and complex IT projects delivered by geographically distributed and culturally diverse teams. Contributing throughout the full software development lifecycle – from concept and development to implementation, further growth, and maintenance – often across multiple parallel project streams. Co-creating delivery plans and roadmaps, balancing business priorities with project and operational constraints. Representing the project team in interactions with internal and external stakeholders, providing the appropriate level of information and influencing business decisions. Coordinating collaboration with business stakeholders to identify their actual needs and validate proposed solutions, considering contractual and technological constraints. Working closely with UX designers, architects, and development teams, taking responsibility for shaping solutions that meet business needs and are technically feasible. Managing analytical complexity within the project by identifying dependencies between modules, processes, and workstreams, ensuring consistency of requirements, and resolving conflicts. Your profile: Extensive experience as a Business Analyst and/or Product Owner, with a proven track record of driving successful project outcomes across multiple industries, Extensive experience in large, complex IT projects, particularly those delivered using agile, hybrid (agile + waterfall), and/or other adaptable methodologies, Excellent communication skills, experienced in leading cross-functional meetings, facilitating workshops, and engaging effectively with business stakeholders at all levels, Demonstrated ability to select, tailor, and apply analysis tools and methods that align with the unique requirements of each project, ensuring optimal outcomes, Solid technical understanding Comfortable working with both developers and business teams, Familiarity with emerging technologies is a plus, quickly grasps industry-specific processes and terminologies, adapting to various business sectors and providing relevant insights, Goal-oriented, independent, and confident, with a proven ability to stay focused and effective in dynamic, rapidly changing project environments, Demonstrates strong leadership and ownership skills, fostering collaboration and driving team performance to meet project goals, A strategic thinker who can balance business priorities with project constraints, ensuring solutions are both innovative and executable within technical and operational limits, Practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat, or similar) to improve productivity, quality, or decision-making in analysis and software delivery. Work from the European Union region and a work permit are required. Nice to have: Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily analytical and documentation work. Interest in and familiarity with emerging AI-driven practices (e.g. automation of analysis tasks, AI-supported documentation, or workflow optimization), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision #J-18808-Ljbffr