Senior IT Business Analyst Data

We are looking for a Senior IT Business Analyst Data & AI who combines analytical precision, client leadership, and technical depth. You will act as the vital link between business stakeholders and technical teams, translating complex business needs into scalable data and AI solutions. The role requires a strong grasp of data processes, the ability to navigate ambiguity, and the skill to align strategic business goals with technical realities. You will serve as the "translator," ensuring that our AI implementations solve the right problems and deliver tangible value from concept to go-live. Job requirements What You Can Expect The opportunity to architect the logic behind AI transformations for leading companies in the Swiss insurance and financial sectors. Access to cutting-edge AI technologies (LLMs, Generative AI, Predictive Models) where your analysis directly influences product design. A dynamic and collaborative work environment where your contributions directly drive our growth and success. A supportive team culture that prioritizes continuous learning, professional development, and personal growth. A leadership ethos focused on empowering people and fostering collaboration, excellence, authenticity, and diversity. A lean and agile organization that values and incentivizes entrepreneurial spirit and innovative thinking. A competitive salary package with a variable performance component, 25 days of vacation, training budgets, and a flat hierarchy. What You Bring Along 5+ years of experience in Business Analysis or Requirements Engineering within a tech-enabled environment (Consulting experience is a strong plus). Solid grasp of Agile methodologies (Scrum, Kanban / SAFe); certification (e.g., CSPO, PSPO) is a plus. Formal BA certification (e.g., IREB, CBAP, or CCBA) is highly desirable. Strong communication skills with the ability to simplify complex technical concepts for business stakeholders and vice versa. Technical Literacy: Ability to read data models, understand API specifications, and perform basic data querying. Fluent in German and English; French is a plus. Familiarity with the Swiss enterprise environment, ideally with a network or domain knowledge in Banking or Insurance. Degree in Business Informatics, Computer Science, Economics, or a related field. Comfortable working onsite with clients when needed, primarily within Switzerland. Job responsibilities Bridge Business & Tech: Act as the primary translator between business stakeholders and data scientists/engineers, ensuring technical deliverables match business intent. Requirements Engineering: Lead the elicitation, analysis, and documentation of requirements (functional & non-functional) for complex AI and data projects. Process & Data Modeling: Analyze current state (AS-IS) processes and design future state (TO-BE) data-driven workflows using industry standards (e.g., BPMN). Solution Shaping: Collaborate with Tech Leads and Architects to define solution designs, focusing on data feasibility, API integrations, and model outputs. Data Analysis: Perform exploratory data analysis and data profiling to assess quality and feasibility before development begins. Backlog Management: Own the product backlog in agile setups; write sharp user stories, define acceptance criteria, and manage prioritization. Testing & Validation: Support the QA phase by validating model results against business metrics and coordinating User Acceptance Testing (UAT). Pre-Sales Support: Contribute to proposals by identifying high-value use cases, scoping requirements, and estimating analytical efforts. Methodology: Continuously improve BA best practices (templates, workshops, documentation standards) within the company. Compensation & rewards: Competitive base salary with a variable performance-based bonus Work environment: Modern office in the heart of Zurich with access to an on-site gym, sports classes (yoga, pilates, spinning) and healthy snacks Flexibility: Hybrid working model — balance remote work with in-office collaboration Learning & growth: Ongoing investment in your professional development, with clear opportunities to take on leadership Parental leave: 16 weeks fully paid maternity leave, with a flexible 50% return-to-work option in the first month (while receiving full salary) and 4 weeks fully paid leave for the second parent Travel & mobility: Paid Halbtax travel card to support sustainable commuting Team & culture: Join a diverse, international team across 5 locations, with regular team events and opportunities for cross-border collaboration Recognition & rewards: Attractive referral bonuses for both candidate and client conversions. Our values: A culture grounded in inclusivity, curiosity, ownership, and collaboration — where your ideas shape the future of AI consulting #J-18808-Ljbffr