Senior IT Business Analyst Data & AI, FR

vector8; Paris; Hybrid; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Competitive salary package

25 days of vacation

Professional development budget

Modern office in Paris

Hybrid working model

Paid parental leave

Paid travel card

Job summary

A leading AI consulting firm in Paris is seeking a Senior IT Business Analyst specializing in Data & AI. The successful candidate will bridge the gap between business stakeholders and technical teams, ensuring that data solutions align with business needs. With a dynamic work environment emphasizing continuous learning and collaboration, this role offers a competitive salary, flexible working conditions, and opportunities for professional development. The ideal candidate should be fluent in French and English, possess strong business analysis skills, and have relevant industry experience.

Qualifications

• 5+ years of experience in Business Analysis or Requirements Engineering within a tech-enabled environment.
• Solid grasp of Agile methodologies, with certifications as a plus.
• Familiarity with the French enterprise environment, ideally in Banking or Insurance.

Responsibilities

• Act as the primary translator between business stakeholders and data teams.
• Lead the elicitation and documentation of requirements for AI and data projects.
• Collaborate on solution designs focusing on data feasibility and API integrations.

Skills

Business Analysis

Requirements Engineering

Agile methodologies

Technical literacy

Fluent in French and English

Education

Degree in Business Informatics, Computer Science, or Economics

Job description

Senior IT Business Analyst Data & AI, FR

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.

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 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.
• Ability to critically assess and challenge existing processes and workflows, redesigning them to leverage AI‑native approaches.
• Fluent in French and English; German is a plus.
• Familiarity with the French 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 Paris.

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 processes and design future state 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 Paris with an on‑site gym, sports classes, 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, flexible 50% return‑to‑work option in the first month 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.

Job Benefits

• Opportunity to architect the logic behind AI transformations for leading companies in the French 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.