AI Business Analyst

Objective

Identify and validate high-value AI opportunities, rapidly prototype solutions, and ensure implementations deliver measurable business outcomes and tangible ROI.

KPI

• Revenue/cost impact of implemented AI solutions
• Stakeholders' satisfaction with business case clarity and realization
  
  

Areas of Responsibility

• Lead Discovery Process and Validate AI Opportunities
• Facilitate stakeholder workshops to identify and prioritize high-impact AI use cases
• Develop business cases with clear ROI models and success metrics
• Build consensus among stakeholders on solution direction
• Map and Redesign Business Processes
• Document current workflows and pain points
• Design AI-enhanced future-state processes
• Quantify expected business improvements
• Define AI Solution Requirements
• Translate business needs into clear technical requirements
• Create user stories and acceptance criteria
• Establish validation approaches for measuring success
• Create Solution Prototypes
• Build functional demonstrations using no-code/low-code tools
• Gather user feedback to refine concepts
• Stay Current on AI Capabilities
• Actively test and experiment with emerging AI technologies firsthand
• Evaluate new tools and platforms for business value
• Share relevant insights with stakeholders
• Ensure Ongoing Business Alignment
• Manage stakeholder expectations throughout delivery
• Lead business review sessions
• Mitigate risks to value realization
  

Skills

• Business process analysis and mapping
• ROI modeling and business case development
• No-code/low-code platform proficiency
• Practical AI knowledge and hands-on tool experience
• Requirements gathering and documentation
• Stakeholder management and workshop facilitation
• Project scoping and planning
  
  

Traits

• Strategic business thinker who can identify valuable AI application opportunities
• Detail-oriented process analyst who can map complex workflows
• Technically curious with practical, hands-on AI knowledge
• Exceptional communicator who can translate between technical and business stakeholders
• Creative problem-solver able to rapidly prototype solutions
• Client-focused consultant who builds trust and drives business outcomes
  
  

Experience

• 3-5 years experience in business analysis, process improvement, or consulting
• Practical knowledge of AI/ML concepts and business applications
• Hands-on experience with one or more no-code/low-code platforms
• Demonstrated success in requirements gathering and stakeholder management
• Experience with digital transformation or technology implementation projects
• Background in financial services
  
  

Terms & conditions

Full remote

Capacity: full-time

Time zone: Europe

Start date: April