Senior Data Analytics Engineer

Artefactlinkedin; Paris; Sur place; EUR 55 000 - 90 000; Plein temps

Résumé du poste

Artefact is a French consulting and engineering firm specializing in data and AI, headquartered in Paris. The Data Analytics Team of 60 professionals focuses on dashboarding, analytics engineering, and data science, delivering end-to-end analytics projects for major clients.

Join to mentor, contribute to internal accelerators, and drive the adoption of modern analytics practices across cloud environments and GenAI-enabled solutions.

Qualifications

• 3+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one domain: dashboards, analytics engineering, marketing analytics or low-code data science.
• Solid SQL and Python; familiarity with Git and cloud platforms (GCP/Azure/AWS).
• Nice to have: generative AI in analytics and statistics fundamentals.

Responsabilités

• Delivering end-to-end analytics projects: frame use cases, validate data availability and define the approach.
• Design and implement dashboards, data products, and pipelines that drive business decisions.
• Translate business requirements into scalable analytics architectures and pipelines.
• Apply modern analytics engineering practices and promote data modeling and testing.
• Leverage the latest GenAI developments to maximize client value and communicate insights clearly.

Connaissances

Dashboarding & Data Visualization

Analytics Engineering

Marketing Analytics & Measurement

Low-Code / No-Code Data Science

SQL

Python

Git

Cloud Environments (GCP/AWS/Azure)

Outils

Power BI

Looker

Tableau

Superset

dbt

BigQuery

Snowflake

Databricks

Dataiku

Copilot Studio

Treasure Data

Hightouch

Tealium

Description du poste

Artefact is a French consulting and engineering firm specializing in data and AI, headquartered in Paris. The Data Analytics Team of 60 professionals focuses on dashboarding, analytics engineering, and data science, delivering end-to-end analytics projects for major clients.

Join to mentor, contribute to internal accelerators, and drive the adoption of modern analytics practices across cloud environments and GenAI-enabled solutions.