Vector8 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.
Job Requirements
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 communicationskills 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, ora related field.
Comfortable working onsite with clients when needed, primarily within Switzerland.
What You Can Expect
The opportunity to architect the logic behind AI transformations for leading companies in the Swiss insurance and financial sectors.
Access tocutting-edgeAI 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 supportiveteamculture 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.
Job Responsibilities
Clarifying 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.
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).
User Focus: Keep the user at the heart of requirements working closely with UX and taking part in UR, when relevant.
Bridge Business & Tech: Act as the primary translator between business stakeholders and data scientists/engineers, ensuring technical deliverables match business intent.
Solution 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.
Data Analysis: Perform exploratory data analysis and data profiling to assess quality and feasibility before development begins.
Backlog 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.
Testing & 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.
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
Job Requirements
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 communicationskills 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, ora related field.
Comfortable working onsite with clients when needed, primarily within Switzerland.
What You Can Expect
The opportunity to architect the logic behind AI transformations for leading companies in the Swiss insurance and financial sectors.
Access tocutting-edgeAI 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 supportiveteamculture 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.
Job Responsibilities
Clarifying 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.
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).
User Focus: Keep the user at the heart of requirements working closely with UX and taking part in UR, when relevant.
Bridge Business & Tech: Act as the primary translator between business stakeholders and data scientists/engineers, ensuring technical deliverables match business intent.
Solution 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.
Data Analysis: Perform exploratory data analysis and data profiling to assess quality and feasibility before development begins.
Backlog 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.
Testing & 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.
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
