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Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.
Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors – industry, retail, luxury, consumer goods, healthcare, and finance – and include major international corporations.
Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.
What You Will Be Doing – Key Responsibilities
As a Data Analyst specialized in GenAI, you will bridge data expertise and AI innovation. You’ll design, prototype, and deliver intelligent solutions leveraging GenAI, automation tools, and low-code/no-code platforms such as Microsoft Power Apps, Google Dialogflow, Dataiku, Make, UI Path, or Retool.
You’ll collaborate with data engineers, data scientists, and business stakeholders to:
- Shape and align the product strategy for AI tools with our client goals.
- Build and maintain AI-assisted workflows to enhance efficiency and user experience.
- Enable business use cases through GenAI copilots and conversational interfaces.
- Prototype and industrialize solutions on LLM or cloud-based platforms (Azure, GCP, AWS) and within business ecosystems (Microsoft or Google Suite).
- Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients
- 3+ years as a Data Analyst in consulting, innovation, or tech environments.
- Skills in Python, SQL or YAML for automation or data processing.
- Experience with prompt engineering, RAG, or data copilots and familiarity with AI frameworks.
- Hands-on experience with at least one low-code/no-code platform (e.g., Power Apps, Dialogflow, Dataiku, Make, UI Path, Retool).
- Familiarity with GenAI tools or APIs (OpenAI, Azure OpenAI, MistralAI,Claude, etc.) and their integration into analytics workflows.
- Understanding of agile principles, data governance, industrialization standards, and cloud architectures.
- Excellent communication skills with both technical and business audiences.
- Exposure to consulting projects in marketing, retail, or energy sectors is a plus.
- HR call
- Technical Interview
- Business Interview
- Fit Interview
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Artefact’s teams are made up of the best experts in their fields, and it’s our biggest responsibility to ensure their professional development and personal wellbeing.
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