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Data Analyst (m/f/d)

Who we are

Artefact is a new generation of a 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 a 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 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
  • 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 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
  • What we are looking for

  • A Doer: you get things done and inspire your colleagues to do the same
  • An Analyst: you LOVE data and think every company should take their decisions based on facts
  • A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions
  • A Mentor: your clients and teams naturally seek you out for advice
  • An Adventurer: you’re an entrepreneur constantly looking for business opportunities
  • Why you should join us

  • Artefact is the place to be: come and build the future of marketing
  • Progress: every day offers new challenges and new opportunities to learn
  • Culture: join the best team you could ever imagine
  • Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
  • Come join us!

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    D'autres ont aussi consulté

    Data Analyst (m/f/d)

    Entreprise:
    Artefact
    Ville:
    Paris
    Type de contrat: 
    CDI, Temps plein
    Catégories: 
    Data Analyst
    Diplôme: 
    Bachelor
    Master
    Publiée:
    09.03.2024
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