Technical Business Analyst (m/f/d)

We are looking for a

Technical Business Analyst (m/f/d)

(unlimited) Join our team at our location in Berlin – hybride working conditions available.

Key Responsibilities

• Drive business analysis activities across the product lifecycle, from discovery and requirement gathering to solution design, implementation support, and acceptance testing.
• Develop expertise in customer risk and fraud domain for Buy Now Pay Later (BNPL) and Consumer Finance products, and leverage this knowledge to contribute to business and product improvement initiatives
• Collaborate closely with product managers, subject matter experts, and engineering teams in an agile, cross-functional environment 
• Analyze and evaluate the feasibility and impact of new features or system improvements.
• Translate business needs into clear system requirements, epics, user stories, and acceptance criteria.
• Validate delivered functionality together with the team to ensure business logic and requirements are correctly implemented.
• Maintain clear documentation for system functionality, interfaces, and platform services.

Skills & Qualifications

• Degree in Business Informatics, Computer Science, Economics, or a comparable field.
• 3+ years of experience as a Technical Business Analyst or similar role in a FinTech or financial services environment.
• Proven ability to translate complex business requirements into technical specifications, user stories, and acceptance criteria.
• Experience working in agile environments (Scrum/Kanban) with tools such as Jira and Confluence.
• Strong analytical thinking, structured problem solving, and excellent communication skills.
• Proactive, self-driven working style with a strong sense of ownership.
• Fluency in English. German language skills are a strong plus.
  

Nice to Have

• Experience with BNPL, consumer finance, or credit risk domains.
• Also knowledge of banking processes and regulatory requirements is considered a valuable plus.
• Basic data analysis skills (Python, Power BI, Databricks).