Senior Data Analyst

Stage Data Analyst - Paris (H/F/X) - Greenhouse; Paris; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

Artefact in Paris, a leading data and AI consulting firm, seeks a Data Analyst to deliver end-to-end analytics projects for diverse clients. You will frame use cases, validate data availability, and design dashboards and data products that drive strategic decisions.

You will translate business requirements into scalable analytics architectures, apply modern data practices, and mentor junior analysts while collaborating across client engagements and internal accelerators.

Qualifications

• 3+ years of hands-on experience in a data-driven environment.
• Strong SQL and Python foundations plus cloud familiarity.
• Experience with dashboarding tools like Power BI, Looker, Tableau, or Superset.
• Experience in analytics engineering with dbt and modern data stacks.
• Knowledge of marketing analytics, attribution, or MMM is a plus.

Responsabilités

• Deliver end-to-end analytics projects from use-case to insights.
• Frame business problems, validate data availability, and define approach.
• Design dashboards and data products to drive decision making.
• Translate requirements into scalable analytics architectures and pipelines.
• Mentor teammates and stay updated on best practices.

Connaissances

Dashboarding & Data Visualization

Analytics Engineering

SQL

Python

Git & CI basics

Cloud platforms

Outils

Power BI

Looker

Tableau

Superset

dbt

BigQuery

Snowflake

Databricks

Dataiku

Description du poste

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

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.

The Data Analytics Team

You will join our Data Analytics Chapter, a team of 60 professionals with expertise across dashboarding, analytics engineering, marketing measurement, and low‑code data science. We are one of three technical teams at Artefact (alongside Software Engineering and Data Science), forming a tech community of 160 people. Despite working on different client engagements, we maintain a strong culture of knowledge sharing through dedicated communities of practice. We are growing fast, with the ambition to double our team size over the next five years.

What you will be doing - Key responsibilities

• Delivering end-to-end analytics projects
  • Frame use cases with business teams, validate data availability, and define the right approach.
  • Design and implement dashboards, data products, and pipelines that drive business decision‑making.
• Driving technical excellence
  • Translate business requirements into scalable analytics architectures and pipelines.
  • Apply modern analytics engineering practices and promote best practices in data modeling and testing.
  • Leveraging the latest GenAI developments in order to deliver the maximum value possible for our clients
• Being a trusted advisor
  • Extract valuable insights and communicate them in clear, actionable terms.
  • Build strong relationships with client stakeholders and act as a go‑to expert for analytics guidance.
• Contributing to team development
  • Mentor junior data analysts and share best practices through workshops and documentation.
  • Contribute to internal accelerators and maintain active technology watch.

Qualifications - What we are looking for

Core requirements

• 3+ years of hands‑on experience in a data‑driven environment.
• Strong expertise in at least one of the following domains:
  • Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.
  • Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.
  • Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.
  • Low‑Code / No‑Code Data Science: Dataiku, Copilot Studio, or similar platforms.
• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

• Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity