Andersen is hiring a Business Analyst in Germany to support a large AI-driven digital transformation, analysing processes and defining requirements for automation that improves decision-making and operational efficiency.  The customer is a large international technology provider delivering end-to-end digital solutions for enterprise-level organizations. The company focuses on IT consulting, cloud services, cybersecurity, and managed operations, supporting clients across various industries with complex digital-transformation needs. With decades of experience, the customer emphasizes innovation, reliability, and high security standards.  The project is a large-scale digital transformation initiative in the AI domain, focused on improving decision-making and operational efficiency through data-driven automation. It involves analysing and optimising business processes and translating strategic objectives into clear functional requirements for AI-powered solutions across a complex organisational ecosystem.  Responsibilities:  Gathering and documenting business requirements for AI/ML and GenAI initiatives, ensuring clarity for both technical and non-technical teams.   Analyzing business processes and identifying opportunities where AI can improve efficiency, accuracy, or decision-making.   Translating requirements into functional specifications, user stories, acceptance criteria, and measurable outcomes.   Collaborating with Data Scientists and ML Engineers to align requirements with model capabilities and data constraints.   Analyzing available data sources and assessing data readiness for AI use, including quality, structure, gaps, and risks.   Facilitating communication between business stakeholders and technical teams to ensure expectations and limitations are well understood.   Supporting product discovery and experimentation cycles (PoCs, prototypes, pilots), capturing learnings and shaping next steps.   Reviewing and validating AI feature outputs, model behaviour, and user experience against defined acceptance criteria.   Preparing process diagrams, workflows, documentation, and decision materials related to AI-enabled solutions.   Monitoring the performance of delivered AI features and supporting iterative improvements based on user feedback and insights.   Ensuring compliance with organisational standards, data privacy requirements, and responsible AI guidelines.   Must-haves:  Experience working as a Business Analyst in software or data-driven environments for 5+ years.   Experience working on AI/ML or GenAI initiatives, including model-driven features, automation, RAG, and LLM-based products.   Ability to collect, analyse, and document business requirements for AI systems with unclear or evolving problem spaces.   Understanding of AI fundamentals, including data quality, model lifecycle, inference vs. training, evaluation metrics, risks, and limitations.   Experience transforming business needs into clear functional and non-functional requirements for AI teams.   Strong skills in process analysis, workflow definition, and optimisation for AI-enabled use cases.   Ability to analyse data sources, constraints, privacy implications, and readiness for AI use.   Experience preparing user stories, acceptance criteria, and success metrics for AI features.   Ability to work closely with Data Science, ML Engineering, Product, and Software Engineering teams.   Strong stakeholder communication skills, with the ability to explain AI capabilities and limitations in simple terms.   Experience supporting the validation of AI features through PoCs, pilots, A/B tests, and iterative discovery.   Level of English – from Upper-Intermediate and above. Level of German – from Upper-Intermediate and above.   Reasons why this job would be interesting to you:  Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.; The opportunity to change the project and/or develop expertise in an interesting business domain; Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee; The opportunity to earn additional up to 1,000 USD per month by participating in the company's activities; Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated; Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies); Certification compensation (AWS, PMP, etc); Referral program; English courses; Private health insurance and compensation for sports activities. Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy  Join us!    https://people.andersenlab.com/