Business Analyst AI Projects

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As an Business Analyst AI Projects you:

• Collaborate with business stakeholders to understand challenges, objectives, and opportunities for AI implementation
• Identify and evaluate business processes that could benefit from AI/ML solutions
• Gather, document, and analyze business requirements for AI projects
• Translate business needs into clear functional requirements for technical teams
• Conduct feasibility studies and cost-benefit analyses for proposed AI initiatives
• Develop business cases and ROI projections for AI investments
• Create user stories, process flows, and requirement specifications
• Facilitate workshops and meetings between business and technical teams
• Analyze data to identify patterns, trends, and insights that inform AI solutions
• Monitor project progress and ensure alignment with business objectives
• Define success metrics and KPIs for AI projects
• Support change management and user adoption of AI solutions
• Conduct user acceptance testing and gather feedback
• Document processes, workflows, and business logic

Our Amsterdam office is located at the Zuidas: a bustling area full of companies. In our Cross Towers, we welcome up to 1,500 people every day. For a breathtaking view of the city, head to the 22nd floor. Collaboration takes on a new meaning in our Wavespace, a high-tech environment that connects clients and colleagues virtually across the globe.

• Bachelor's degree in Business Administration, Information Systems, Data Analytics, or related field
• 3+ years of experience as a Business Analyst, with at least 1 year working on AI/ML or data science projects
• Strong understanding of AI/ML capabilities and how they can solve business problems
• Ability to assess whether AI is the right solution for a given business challenge
• Experience with requirements gathering, documentation, and stakeholder management
• Proficiency in data analysis and visualization tools (Excel, Power BI, Tableau, or similar)
• Strong analytical and problem-solving skills
• Excellent communication skills with ability to explain technical concepts to non-technical audiences
• Experience with agile methodologies and project management
• Understanding of data governance, privacy, and ethical considerations in AI
• Ability to work effectively with cross‑functional teams

• Master's degree in Business Analytics, Data Science, or related field
• Certification in Business Analysis (CBAP, CCBA) or related credentials
• Experience with SQL and basic data querying
• Familiarity with AI/ML terminology and common use cases (NLP, computer vision, predictive analytics)
• Experience with process modeling tools (BPMN, Visio, Lucidchart)
• Knowledge of cloud platforms and AI services (AWS, Azure, GCP)
• Understanding of MLOps and AI model lifecycle
• Experience in specific industry domains (finance, healthcare, retail, etc.)
• Background in statistics or data analysis
• Exposure to Python or R for data analysis

• Data Analysis:
  Excel, SQL basics, statistical analysis
• Visualization Tools:
  Power BI, Tableau, Looker, or similar
• Process Modeling: BPMN, UML, flowcharting tools
• AI Awareness:
  Understanding of ML algorithms, LLMs, computer vision, NLP applications
• Project Management:
  Agile/Scrum, requirement tracking tools
• Critical thinking and ability to question assumptions
• Stakeholder management and negotiation skills
• Ability to see both the big picture and the details
• Strong facilitation and workshop leadership
• Change management and ability to drive adoption

• AI/ML Technologies:
  Deep learning, NLP, computer vision, reinforcement learning, generative AI (LLMs, diffusion models)
• Data Technologies: SQL/No
  
  SQL databases, data warehouses, data lakes, streaming platforms
• Programming:
  Python, understanding of other languages (Java,…