Data Analyst - Casablanca
Role details
Job location
Tech stack
Job description
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, * A Doer: you get things done and inspire your team 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 colleagues naturally seek you out for advice
- An Adventurer: you're an entrepreneur constantly looking for business opportunities
Requirements
- Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :
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A minimum of 3 year of work experience in a data-driven working environment
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1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
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1 or 2 programming languages among SQL, Python and/or R.
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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:
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Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
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You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
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Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)
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ETL tool (Airflow, Dataiku, Dataflow, Dataprep...)
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Web application (R-Shiny, Python Flask) that you have industrialized Ideally you have:
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Knowledge of statistics
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Knowledge of machine learning and data engineering