Senior Data Analyst

LinkedIn Job Wrapping; France; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Artefact is seeking a Senior Data Analyst to turn client data into actionable insights through dashboards, data products, and pipelines.

You will frame use cases with business teams, design scalable analytics architectures, and mentor junior analysts while applying modern analytics engineering practices and GenAI developments.

Exposure to Power BI/Looker/Tableau and cloud platforms like GCP/AWS/Azure awaits in a fast-growing Data Analytics Team.

Qualifications

• 3+ years in a data-driven environment with hands-on work.
• Strong in at least one domain: dashboards, analytics engineering, marketing analytics, or low-code data science.
• Solid SQL and Python foundations; familiarity with Git and software fundamentals.
• Experience with cloud environments (GCP/AWS/Azure).
• Nice to have: generative AI applied to analytics and cross-domain exposure.

Responsabilités

• Frame use cases with business teams and validate data availability.
• Design and implement dashboards, data products, and pipelines.
• Translate business requirements into scalable analytics architectures.
• Mentor junior analysts and contribute to internal accelerators.

Connaissances

Dashboarding & Data Visualization

Analytics Engineering

Marketing Analytics & Measurement

Low-Code / No-Code Data Science

SQL

Python

Git & Code Quality

Cloud Platforms (GCP/AWS/Azure)

Outils

Power BI

Looker

Tableau

Superset

dbt

BigQuery

Snowflake

Databricks

Dataiku

Copilot Studio

Treasure Data

Hightouch

Tealium

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 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

As a Senior Data Analyst, you will transform our clients' businesses through effective data collection, processing, and visualization, acting as a trusted advisor for business stakeholders.

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

We are looking for profiles with deep expertise in one of the following domains, combined with openness to work across others. Our flexible career track allows you to specialize or develop a broader skill set.

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, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Business Interview
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.