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We are seeking a skilled Business Analyst to drive the success of our AI initiatives by bridging the gap between business stakeholders and technical teams. In this role, you'll identify AI opportunities, gather and translate business requirements, and ensure AI solutions deliver measurable business value.

Your new job | About your main responsibilities

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

Your new team | About your colleagues and the office

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.

Your skills and strengths | About your unique contribution

• 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

Preferred Qualifications

• 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

Technical Knowledge

• Data Analysis: Excel, SQL basics, statistical analysis
• Visualization Tools: Power BI, Tableau, Looker, or similar
• Documentation: Confluence, SharePoint, JIRA, Azure DevOps
• Process Modeling: BPMN, UML, flowcharting tools
• AI Awareness: Understanding of ML algorithms, LLMs, computer vision, NLP applications
• Project Management: Agile/Scrum, requirement tracking tools

Key Competencies

• 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
• Data-driven decision making

Preferred Qualifications

• Master's or PhD in Computer Science, AI/ML, Data Science, or related field
• Experience with enterprise AI platforms and tools
• Certifications in cloud platforms (AWS Solutions Architect, Azure AI Engineer, Google Cloud Architect)
• Experience with AI ethics, responsible AI, and regulatory compliance
• Background in multiple industries and diverse AI use cases
• Experience with agile methodologies and DevOps practices
• Knowledge of edge AI and IoT architectures
• Experience with conversational AI, computer vision, or NLP solutions
• Understanding of cost optimization for AI workloads

Technical Expertise

• AI/ML Technologies: Deep learning, NLP, computer vision, reinforcement learning, generative AI (LLMs, diffusion models)
• Cloud Platforms: AWS (SageMaker, Bedrock), Azure (AI Services, OpenAI), GCP (Vertex AI)
• Data Technologies: SQL/NoSQL databases, data warehouses, data lakes, streaming platforms
• MLOps Tools: MLflow, Kubeflow, DVC, model registries
• Architecture: Microservices, API design, event-driven architectures, serverless
• Programming: Python, understanding of other languages (Java, Scala, etc.)
• Containerization: Docker, Kubernetes
• Integration: REST APIs, message queues, ETL/ELT pipelines

Key Competencies

• Strategic thinking and ability to align AI initiatives with business goals
• Problem-solving mindset with analytical approach to identifying AI opportunities
• Strong decision-making capabilities for technology selection and trade-offs
• Leadership and ability to influence across organizational levels
• Risk assessment and mitigation for AI implementations
• Change management and ability to drive AI adoption

Your benefits | About your perks and work enjoyment

• A competitive salary that reflects your role and responsibilities, depending on experience and qualifications.
• Plus, a solid pension plan for the future. In addition to your salary, you’ll receive holiday allowance and an annual bonus (based on performance and development).
• You’ll receive a contract for 32-40 hours.
• A laptop and phone for both work and personal use, and a monthly internet allowance.
• 29 vacation days to recharge and unwind, plus the option to buy extra days.
• With the mobility budget, you decide how you travel. Choose a lease car, a discounted public transport subscription, or arrange transport easily via our app.
• At EY, we care about a healthy work-life balance. Hybrid working makes this easier. Whether you're working from the office, at a client, or from home, we’ll make sure you have a well-equipped home office.
• The opportunity to work up to 20 days per year from abroad.
• The option to swap 3 national holidays for non-national ones.
• You’ll have the space to grow both personally and professionally. Whether you want to deepen your expertise, develop your personality, or improve your leadership style, we offer a broad range of trainings and courses.
• Your well-being is our priority. We believe that when you feel good, you perform better. That’s why you’ll have access to the OpenUp wellbeing platform (including for your family). You can easily connect with psychologists and lifestyle experts within 36 hours and take part in wellbeing sessions.
• A strong focus on teaming and various internal networks where you can join all kinds of social activities. A positive work atmosphere and good collaboration with colleagues contribute to your overall happiness at work.

All this within an environment where our core values of integrity, inclusiveness, and respect are central. We think it’s important that you can be yourself and fully develop into the best version of yourself. Curious about all our benefits? Click here.

Ready to shape your future with us? About your application process

• For this vacancy, we ask you to upload a motivation letter along with your CV and examples of AI solutions you've architected. This gives you the opportunity to show us your drive, motivation, and personality. At EY, we support the use of AI tools like ChatGPT, as long as your own tone and unique personality remain visible.
• Our first contact: After your application, our recruiter will call you within 5 days for a short introduction. We’ll explore whether the role could be a good match.
• First interview: Before the interview, we’ll ask you to complete an online assessment. Not a standard questionnaire, but a game-based assessment focusing on both your cognitive skills and behavioral preferences. We’ll discuss the results during the interview, which will include a colleague from the relevant department. This mutual introduction is a chance for us to get to know you, and for you to ask any questions you have.
• Second interview: If we see a match and you’re still enthusiastic, we’ll invite you for a second interview. We’ll dive deeper into the role and other relevant topics. Sometimes, a business case is part of the process. A final interview may also follow.
• We’re a match. You’ll receive an offer and we’ll perform a pre-employment screening. Then your new adventure begins. Welcome to EY!

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.