Senior Business Analyst, Data & AI

ppVector8 is growing and we are looking for a Senior Business Analyst Data AI who combines analytical precision, client leadership, and technical depth.

You will act as the vital link between business stakeholders and SMEs, and technical teams, translating the complex needs of businesses and their customers, into tangible, value led outcomes with data and AI at the core of the solution. /p h3Job Requirements /h3 ul li5+ years of experience in Business Analysis or Requirements Engineering within a tech-enabled environment (Consulting experience is a strong plus). /li liSolid grasp of Agile methodologies (Scrum, Kanban /SAFe); certification (e.g., CSPO, PSPO) is a plus. /li liFormal BA certification (e.g., IREB, CBAP, or CCBA) is highly desirable. /li liStrong communicationskills with the ability to simplify complex technical concepts for business stakeholders and vice versa. /li liTechnical Literacy: Ability to read data models, understand API specifications, and perform basic data querying. /li liFluent in German and English; French is a

plus. /li liFamiliarity with the Swiss enterprise environment, ideally with a network or domain knowledge in Banking or Insurance. /li liDegree in Business Informatics, Computer Science, Economics, ora related field. /li liComfortable working onsite with clients when needed, primarily within Switzerland. /li /ul h3What You Can Expect /h3 ul liThe opportunity to architect the logic behind AI transformations for leading companies in the Swiss insurance and financial sectors. /li liAccess tocutting-edgeAI technologies (LLMs, Generative AI, Predictive Models) where your analysis directly influences product design. /li liA dynamic and collaborative work environment where your contributions directly drive our growth and success. /li liA supportiveteamculture that prioritizes continuous learning, professional development, and personal growth. /li liA leadership ethos focused on empowering

people and fostering collaboration, excellence, authenticity, and diversity. /li liA lean and agile organization that values and incentivizes entrepreneurial spirit and innovative thinking. /li liA competitive salary package with a variable performance component, 25 days of vacation, training budgets, and a flat hierarchy. /li /ul h3Job Responsibilities /h3 ul liClarifying the Vision: Work with businesses to understand the problem they are trying to solve, and establish what is causing this, so that appropriate solutions can be identified. /li liRequirements Engineering: Lead the elicitation, analysis, and documentation of requirements (functional non-functional) for complex AI and data projects. /li liProcess Data Modeling: Analyze current state (AS-IS) processes and design future state (TO-BE) data-driven workflows using industry standards (e.g., BPMN). /li liUser Focus: Keep the user

at the heart of requirements working closely with UX and taking part in UR, when relevant. /li liBridge Business Tech: Act as the primary translator between business stakeholders and data scientists/engineers, ensuring technical deliverables match business intent. /li liSolution Shaping: Collaborate with Tech Leads and Architects to define solution designs, focusing on user needs, feasibility, suitability all while balancing costs with the expected benefit. /li liData Analysis: Perform exploratory data analysis and data profiling to assess quality and feasibility before development begins. /li liBacklog and Scope Management: Own the product backlog in agile setups; write high quality, comprehensive user stories and manage prioritization.

Control scope and negotiate as needed to protect delivery. /li liTesting Validation: Support the QA phase by validating model results against business metrics and coordinating User Acceptance Testing (UAT).

Adoption Support: Help train clients in new software and processes and provide user guides, ensuring successful adoption. /liliPre-Sales Support: Contribute to proposals by identifying high-value use cases, scoping requirements, and estimating analytical efforts. /li liMethodology: Continuously improve BA best practices (templates, workshops, documentation standards) within the company. /li /ul h3Compensation Rewards /h3 pCompetitive base salary with a variable performance-based bonus. /p h3Work environment /h3 pModern office in the heart of Zurich with access to an on-site gym, sports classes (yoga, pilates, spinning) and healthy snacks. /p h3Flexibility /h3 pHybrid working model — balance remote work with in-office collaboration. /p h3Learning growth /h3 pOngoing investment in your professional development, with clear opportunities to take on leadership. /p h3Parental leave /h3 p16

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. /p h3Travel mobility /h3 pPaid Halbtax travel card to support sustainable commuting. /p h3Team culture /h3 pJoin a diverse, international team across 5 locations, with regular team events and opportunities for cross-border collaboration. /p h3Recognition rewards /h3 pAttractive referral bonuses for both candidate and client conversions. /p h3Our values /h3 pA culture grounded in binclusivity, curiosity, ownership, and collaboration /b — where your ideas shape the future of AI consulting. /p /p