Business Analyst in Germany

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.

  
  

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