What are the responsibilities and job description for the Junior Data Analyst (m/f/d) position at artefactlinkedin?
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.
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, your role will encompass:
- Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
- Extracting valuable insights from our clients’ marketing-related data sources.
- Designing dashboards for marketing decision-making while taking into account the business needs
- Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
- Actively contributing to the expertise level and competencies of the Data & Analytics team
- Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients
Education & experience required
Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :
- A minimum of 1 year of work experience in a data-driven working environment
- 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
- 1 or 2 programming languages among SQL, Python and/or R.
- 1 Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...)
Ideally, you have the knowledge or take interested in one or more of the following technologies:
- 1 Google Cloud Platform resource (Big Query, Google Cloud Storage) or its equivalence in Azure or AWS
- You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
- 1 advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)
- 1 ETL tool (Airflow, Dataiku, Dataflow, Dataprep...)
- 1 web application (R-Shiny, Python Flask) that you have industrialized
As a bonus, you have:
- Basic knowledge of statistics
- Basic knowledge of machine learning and data engineering
Our recruitment process
- HR call
- Technical Interview - SQL or Python (which ever you prefer)
- Use Case 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.