Senior Data Analyst
Artefact · 9th arrondissement of Paris, Paris
What this role requires
2 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: Power BI, Looker, Tableau, Superset, dbt, BigQuery, Snowflake, Databricks, CDP platforms, Treasure Data, Hightouch, Tealium, MMM, attribution, clean rooms, Dataiku, Copilot Studio, Git, GCP, Azure, AWS. Worth having, but their absence is not what gets a CV filtered out.
See how often each of these is required across open data roles in Europe.
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Job description
Who we are
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.
The Data Analytics Team
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.
What you will be doing - Key responsibilities
Read the full description (37 more sections)Show less
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.
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.
Qualifications - What we are looking for
We are looking for profiles with deep expertise in one of the following domains, combined with openness to work across others. Our flexible career track allows you to specialize or develop a broader skill set.
Core 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: Power BI, Looker, Tableau, or Superset.
Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.
Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.
Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.
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).
Nice to have
Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.
Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.
Our recruitment process
HR call
Technical Interview
Business Interview
Fit Interview
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.
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