Run client projects covering data collection, processing and visualisation
Extract insights from clients' marketing-related data sources
Design dashboards for marketing decision-making
Help clients design and build data architectures and pipelines
Research new technical approaches and share best practices
From the employer’s posting
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.
Researching and developing new technical approaches to address problems efficiently
About LinkedIn Job Wrapping
Artefact is a new generation of data service provider, specialised in data consulting and data-driven digital marketing.
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Apr 15, 2026204 days ago
Recorded sightings
205
Last seen by us
Nov 5, 2026
Apr 15, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 204
541
Up longer than most. Similar jobs usually come down between day 5 and day 41.
Well past LinkedIn Job Wrapping’s usual: its jobs come down by about day 62.
From 10,971 similar postings that came down, and 19 of LinkedIn Job Wrapping’s. Coming down is not always a hire.
LinkedIn Job Wrapping is hiring
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
R
SQL
AWS
Azure
BigQuery
Tableau
Airflow
Flask
GCP
Google Cloud Storage
Where the posting names them
- 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 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...)
- 1 or 2 programming languages among SQL, Python and/or R.
- 1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...)
In addition, you have the knowledge in one or more of the following technologies:
- ETL tool (Airflow, Dataiku, Dataflow, Dataprep...)
- Web application (R-Shiny, Python Flask) that you have industrialized
Ideally you have:
- A minimum of 3 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.
In addition, you have the knowledge in one or more of the following technologies:
- Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent 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)
- Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)
- ETL tool (Airflow, Dataiku, Dataflow, Dataprep...)
- Web application (R-Shiny, Python Flask) that you have industrialized
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Applying through Greenhouse
No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Artefact is a new generation of data service provider, specialised in data consulting and data-driven digital marketing.
Our purpose?
Every day we boost our clients’ data transformation into business impact across the entire value chain of organisations.
Our strength?
Our data services stand on double expertise: the combination of Artificial Intelligence and the business prowess acquired from our customers around the world, such as AccorHotels, Orange, Carrefour, Engie, Samsung, L'Oréal, Nissan...
Artefact’s success comes from a unique mix of company assets: cutting-edge data technologies, agile methodologies for fast delivery, cohesive teams assembling the finest business consultants, data analysts, data scientists, data engineers, and digital marketing experts.
Artefact is :
13 offices in Paris, London, Shanghai, Dubai...
900 employees
4 practices: Data Consulting, Data Marketing, Activation and Creation
What you will be doing: Key responsibilities
As a Senior 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
Being a great tech role model
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Staying up-to-date on developments within the industry, sharing best practices and actively contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: 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 3 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 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...)
In addition, you have the knowledge in one or more of the following technologies:
Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent 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)
Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)