Senior Data Analyst

About the role

Do you think like a management consultant, thrive in a startup environment, and can't stop thinking about the intersection of data, technology, and marketing? With over 2000 employees, 36 offices on five continents, and world-class clients like Samsung, L'Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We've recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team! Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & Ai consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we're also growing in parallel. We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. Find out more at artefact.com .

Responsibilities

• Key tasks include:
• Conducting projects to accompany the transformation of your clients' businesses through the effective collection, processing, and visualization of data
• Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring
• Extracting valuable insights from our clients' marketing-related data sources
• Researching and developing new technical approaches to address problems efficiently
• Designing dashboards for marketing decision-making while taking into account the business needs
• 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

Requirements

• Undergraduate degree with strong academic performance
• 5-8 years of full-time work experience in a data-driven working environment with experience or knowledge in:
• Data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
• Programming languages (among SQL, Python and/or R)
• Data visualization tools (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, etc.)
• Additionally, have 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
• Have a strong business-orientation with great verbal and written communication skills; ability to represent Artefact in a client-facing capacity
• Ability to engage with diverse team members; strong intercultural communication skills are a must
• Advanced familiarity with Excel and PowerPoint
• Strong teaching orientation; demonstrated ability to mentor more junior members of the team
• Why you should join us
• We are united by our values and strengthened by our hybrid expertise .
• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep

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