Analysis of complex business needs in customer onboarding, customer lifecycle and master data management.

Supporting the product owner with epics, user stories, backlog structuring, prioritisation and decision preparation.

Translating needs into testable requirements, acceptance criteria, process flows and API specifications.

Supporting API definition and service design.

Using AI tooling to improve requirements, test scenarios and documentation, and building prompt patterns and requirement templates.

Preparing and supporting user acceptance testing. Facilitating workshops and refinement sessions, working closely with architects, developers, testers, UX and data experts and business stakeholders.

At least 5 years of experience in business analysis, requirements engineering, product analysis or a comparable role.

Very good knowledge of requirements engineering methods such as elicitation, documentation, validation, prioritisation and traceability.

Hands-on experience writing user stories, acceptance criteria, business rules and testable requirements.

Technical understanding of data management, API definitions and service-oriented architectures.

Experience in agile teams with product owners, developers, testers and architects.

Practical experience with or strong interest in AI-supported business analysis, and the ability to critically validate AI output.

An advantage: experience with customer master data management, customer onboarding or customer lifecycle, knowledge of Jira, Confluence, Miro and BPMN, understanding of data privacy, information security and responsible AI.

Excellent communication and facilitation skills.

Fluent English, German is a plus.