This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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 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.
Job Responsibility:
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
Requirements:
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
What we offer:
Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
The opportunity to change the project and/or develop expertise in an interesting business domain
Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant
Guarantee of professional, financial, and career growth
The company has introduced systems of mentoring and adaptation for each new employee
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, 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
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