Business/Process Analyst

Accountabilities

• Map business processes end to end, from initial triggers and inputs through final outcomes, responsibilities, and ownership.


• Break complex processes into clear steps, decision points, business rules, data requirements, systems, dependencies, and edge cases.


• Identify relationships and dependencies between business processes and the systems supporting them.


• Convert process knowledge into clear, structured, reusable documentation and maintain a consistent company knowledge base.


• Identify opportunities to simplify, redesign, optimise, or automate existing processes.


• Analyse the potential impact of proposed improvements, including time savings, reduced manual work, fewer errors, and lower operating costs.


• Design and iteratively refine TO-BE processes in collaboration with process owners and relevant stakeholders.


• Work closely with technical teams during development and testing to ensure business requirements and logic are correctly implemented.


• Validate solutions, identify missing or contradictory rules, and resolve newly discovered edge cases and business requirements.


• Continuously update requirements, process documentation, business logic, and workflows as the business and underlying systems evolve.


• Use AI tools to structure interviews and discussions, create initial process maps, identify gaps and contradictions, analyse processes, and maintain business knowledge.


• Identify opportunities where AI and automation can reduce manual analysis and documentation work while maintaining the quality and accuracy of business logic.


• Measure process improvements where relevant to determine whether expected operational and business outcomes have been achieved.

• Previous professional experience in Business Analysis, Process Analysis, Systems Analysis, or a closely related discipline.


• Strong ability to break down complex business processes and structure them into clear, logical, end-to-end workflows.


• Excellent analytical and questioning skills, with the ability to uncover missing information, business rules, exceptions, contradictions, and dependencies.


• Strong systems-thinking mindset and the ability to understand how processes, data, applications, and business outcomes interact.


• Experience working at the intersection of business operations, data, and IT systems.


• Ability to translate business requirements and process logic into practical solutions that technical teams can implement.


• Understanding of process optimisation, automation, and continuous improvement principles.


• Demonstrated ability to think beyond individual tasks and understand the complete lifecycle of a process.


• Hands-on experience using AI tools to accelerate analysis, documentation, research, knowledge management, or other professional workflows.


• Ability to critically review AI-generated outputs and take ownership of the accuracy, completeness, and quality of the resulting analysis.


• Highly structured, systematic, and detail-oriented approach to work.


• Ability to work independently while collaborating effectively with process owners, technical teams, and other stakeholders.


• Strong communication skills and the ability to make complex business concepts understandable and actionable.


• A proactive mindset and willingness to challenge existing processes constructively rather than simply documenting the status quo.


• Fashion-industry expertise is not required; transferable experience in analysing complex business environments is valued.

• €3,500–€4,500 gross monthly compensation.


• Fully remote position within Europe.


• Full-time employment.


• Opportunity to work at the intersection of business analysis, technology, data, AI, and process automation.


• Significant ownership in shaping and improving how a growing organisation operates.


• Hands-on exposure to AI-enabled business analysis and knowledge-management practices.


• Opportunity to collaborate closely with both business process owners and technical development teams.


• Scope to directly influence efficiency, scalability, automation, and operational quality.


• Dynamic environment where analysis and development are closely connected and processes evolve continuously.

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