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:

• facilitating Discovery workshops, including context building, process mapping, and ecosystem assessment across the Health & Safety domain;

• eliciting, analyzing, and documenting business requirements while separating business needs from solution design;

• collaborating with the Product Owner to define and prioritize the MVP based on business value, operational impact, compliance, and feasibility;

• mapping current business processes, organizational structures, stakeholders, responsibilities, and dependencies across multiple countries and regions;

• maintaining a clear, prioritized backlog with well-defined user stories and acceptance criteria for Agile delivery;

• synthesizing research findings into MVP scope recommendations and implementation roadmaps;

• supporting User Acceptance Testing (UAT) by defining acceptance criteria and ensuring end-to-end requirements traceability.

Your profile:

• proven experience as a Business Analyst working on enterprise workflow or data-capture platforms;

• strong requirements engineering skills, including user stories, acceptance criteria, process modeling (e.g. BPMN), and backlog management;

• experience facilitating workshops and managing stakeholders across both business and technical teams;

• hands-on experience working in Agile environments with two-week sprint cycles;

• familiarity with Azure DevOps, Jira, or similar Agile project management tools;

• excellent spoken and written English,

• practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat, or similar) or 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 in Health & Safety, compliance, audit, or inspection-related projects;

• familiarity with questionnaire or survey platforms and version-controlled templates;

• understanding of AI/LLM use cases, such as response classification or Retrieval-Augmented Generation (RAG), and awareness of governance considerations,

• 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