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:

• eliciting, analyzing, and documenting business and system requirements,
• translating business needs into clear User Stories at both high-level and technical levels,
• supporting backlog management, refinement, and prioritization in collaboration with Product Owners and development teams,
• working closely with multiple teams (min. 2 teams) to ensure alignment and consistency across solutions,
• participating in large-scale initiatives such as system migrations and platform transformations,
• analyzing and supporting data models and relational database structures,
• collaborating with stakeholders across business and IT to design scalable solutions,
• supporting testing activities (validation of requirements, UAT support),
• ensuring high-quality documentation in Jira and Confluence environments,
• contributing to solution design for web-based and distributed systems.

We are looking for an experienced Senior Business Analyst to join our project team working on complex, distributed systems and large-scale transformation initiatives. The role requires strong analytical skills, technical understanding of data structures, and the ability to work across multiple teams in a structured, delivery-focused environment.

 

 

Your profile:

• strong knowledge of SQL and relational databases,
• understanding of data modeling concepts,
• experience working with distributed systems / platform-based architectures,
• experience in web-based systems development projects,
• very good knowledge of Jira and Confluence tools,
• proven experience in migration projects and complex IT initiatives involving multiple teams,
• experience working in fixed-price project environments,
• ability to work across complex system landscapes and integrations,
• strong experience in writing User Stories, including: o high-level business stories o detailed technical stories with acceptance criteria,
• experience in requirements elicitation, analysis, and documentation,
• understanding of Agile methodologies,
• excellent communication and stakeholder management skills,
• high level of independence and ownership,
• strong teamwork mindset (team player),
• risk management ability an awareness,
• strong English and Polish communication skills for cross-functional collaboration,
• 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:

• knowledge of leasing or railway domain,
• experience working with SAP systems,,
• 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