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About the Role
As a Senior Data Analyst, you will transform our clients' businesses through effective data collection, processing, and visualization, acting as a trusted advisor for business stakeholders. You will deliver end-to-end analytics projects, drive technical excellence by translating business requirements into scalable analytics architectures and pipelines, and leverage the latest GenAI developments. You will also extract valuable insights, communicate them clearly, build strong relationships with client stakeholders, mentor junior analysts, and contribute to team development.
Responsibilities
- Delivering end-to-end analytics projects
- Frame use cases with business teams, validate data availability, and define the right approach
- Design and implement dashboards, data products, and pipelines that drive business decision-making
- Driving technical excellence
- Translate business requirements into scalable analytics architectures and pipelines
- Apply modern analytics engineering practices and promote best practices in data modeling and testing
- Leveraging the latest GenAI developments in order to deliver the maximum value possible for our clients
- Being a trusted advisor
- Extract valuable insights and communicate them in clear, actionable terms
- Build strong relationships with client stakeholders and act as a go-to expert for analytics guidance
- Contributing to team development
- Mentor junior data analysts and share best practices through workshops and documentation
- Contribute to internal accelerators and maintain active technology watch
Requirements
- 3+ years of hands-on experience in a data-driven environment
- Strong expertise in at least one of the following domains: Dashboarding & Data Visualization, Analytics Engineering, Marketing Analytics & Measurement, or Low-Code / No-Code Data Science
- Solid foundation in SQL and Python
- Familiarity with Git and software engineering fundamentals (versioning, testing, code quality)
- Experience working in cloud environments (GCP, Azure, or AWS)
- Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces)
- Exposure to multiple domains
- Knowledge of statistics and machine learning fundamentals
- Intellectual curiosity, pragmatism and creativity
- Ability to bridge business and technical teams
- Autonomy and reliability
- Clear communication to build client trust
Skills
- Power BI
- Looker
- Tableau
- Superset
- dbt
- BigQuery
- Snowflake
- Databricks
- CDP platforms (Treasure Data, Hightouch, Tealium)
- MMM
- attribution
- clean rooms
- Dataiku
- Copilot Studio
- SQL
- Python
- Git
- GCP
- Azure
- AWS
Location
- Paris
Work Type
- Full-time
Experience Level
- Senior
About the Company
- 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.
- You will join our Data Analytics Chapter, a team of 60 professionals with expertise across dashboarding, analytics engineering, marketing measurement, and low-code data science.
- We are one of three technical teams at Artefact (alongside Software Engineering and Data Science), forming a tech community of 160 people.
- Despite working on different client engagements, we maintain a strong culture of knowledge sharing through dedicated communities of practice.
- We are growing fast, with the ambition to double our team size over the next five years.
Equal Opportunity
- At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.