Senior Data Analyst Recruitment Night
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Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Nous organisons une Soirée Recrutement le 18 février à partir de 18h dans nos bureaux du 9ème arrondissement afin de recruter des profils seniors. Cette offre demploi est uniquement réservée aux inscriptions à cet événement. Si vous souhaitez participer au processus de recrutement classique vous pouvez postuler à notre offre Senior Data Analyst. Votre inscription à lévénement ne sera confirmée que si vous recevez un mail de notre part afin de convenir un pré-échange.
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 1700 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 worlds 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
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 - Recruitment Night
- HR call (before the event)
- Technical test - SQL or Python
- Business 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.
Required Experience:
Senior IC
Key Skills
- Databases
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
