Role Overview
As an Analytics Engineer, your primary challenge is to transform raw data into reliable, well-modeled, and accessible analytical datasets, enabling large-scale decision-making on demand. This role supports the company’s data-driven strategy by improving data quality, analysis efficiency, and self-service capabilities.
What You Will Do
Design, build, and maintain analytical data models (facts, dimensions, models) in the data hub. Transform raw data into ready-to-use datasets using SQL, dbt, and applying best practices in analytical engineering.
Why It Might Be a Fit
We are looking for a candidate with an analytical mindset and problem-solving skills, ability to translate business questions into data models, and experience with modern data platforms (BigQuery, Snowflake, Redshift, etc.).
Requirements
- Bachelor’s degree in computer science, data, engineering, mathematics, statistics, or equivalent
- Experience in the field of analysis, data engineering, or economic intelligence
- Fluent in English
- Advanced SQL for analysis (complex joins, data quality, and optimized models)
- Data modeling concepts (star schema, fact/dimension tables, metric definition) and DBT usage
- Experience with modern data platforms (BigQuery, Snowflake, Redshift, etc.)
- Collaboration & communication: ability to work independently and with business and technical teams, and to share information clearly
Benefits
- Interest and participation
- CSE
- Service Conciergerie
- Sports collective courses
- Restaurant tickets
- Time Savings Account
- 3 days of action with the company foundation
To apply for this job please visit jobs.smartrecruiters.com.
Follow us on social media