Business Analyst (Data & AI)

• Gather and analyse business requirements for Data & AI initiatives, translating them into clear technical specifications.
• Collaborate with business stakeholders, technical teams, and external vendors to ensure successful solution delivery.
• Test new platform features before release to ensure functionality, usability, and alignment with user needs.
• Drive stakeholder alignment, provide delivery support, and create clarity across complex projects.
• Work in a dynamic environment, proactively identifying opportunities and taking ownership to move initiatives forward.

Are you passionate about bridging the gap between business and technology? We're looking for a Technical Business Analyst with a background in Data & AI who enjoys turning complex business needs into clear technical requirements. You'll thrive in a fast-paced environment where ownership, collaboration, and proactive problem-solving are key to delivering innovative AI-driven solutions., * 2-5 years of experience as a Business Analyst within a technical, data, or AI-focused environment.

• Previous hands-on experience as a Data Scientist or Machine Learning Engineer with a solid understanding of data workflows, analytics, and machine learning concepts.
• Strong analytical mindset with the ability to simplify and communicate complex technical topics to both technical and non-technical stakeholders.
• Experience gathering requirements, supporting testing activities, managing stakeholders, and collaborating with external vendors.
• Bachelor's or Master's degree in a relevant field (PhD is a strong advantage); consulting or start-up experience is highly desirable.

Levy is an international IT staffing organization providing recruitment and project resourcing services to companies ranging from start-ups to well established global players across the UK, Holland, Germany, Belgium, and the USA. By partnering with our clients, we provide tailored interim and permanent IT staffing solutions to help them deliver their initiatives across applications and infrastructure, touching areas such as Digital, Data, Cloud, Cybersecurity and ERP.