Analytics Engineer - CDI
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 24, 2026.
Join Tarmac, a leading company in the aviation industry, as an Analytics Engineer. In this role, you will own and scale Tarmac's customer analytics platform, helping operational teams at airports, airlines, and ground-handling companies worldwide understand their performance and make better operational decisions. You will be responsible for the underlying data models, the overall customer analytics experience, and enabling users to access data, explore performance, build dashboards, and use AI to generate actionable insights.
Missions
- Développer et améliorer en continu la plateforme d'analyse de Tarmac, y compris son architecture, sa couche sémantique et son expérience intégrée.
- Construire et maintenir des modèles de données fiables et évolutifs dans dbt qui alimentent à la fois les analyses orientées client et les rapports internes.
- Travailler en étroite collaboration avec les clients et les équipes internes pour transformer les besoins récurrents en capacités de produit réutilisables.
Profil recherché
* 3-5 years of experience in Analytics Engineering, Data Engineering, Business Intelligence, or a similar data-focused role.* Advanced SQL skills and strong hands-on experience with DBT and a cloud data warehouse such as Redshift, Snowflake, or BigQuery.
* Experience working with a modern BI or analytics platform such as Omni, Looker, Tableau, or Power BI.
* Strong understanding of dimensional modeling, semantic layers, metric definitions, incremental pipelines, and data governance.
* A customer and product mindset, with a genuine interest in understanding operational challenges and turning analytics into a useful, user-facing product, not simply a collection of dashboards.
* Experience implementing data quality tests, monitoring, documentation, and reliable Git-based CI/CD workflows.
* Excellent communication skills, with the ability to collaborate with both technical and non-technical stakeholders in an international environment.
* Comfortable working autonomously in a fast-moving environment and taking ownership from problem definition through production delivery and user adoption.
### **Additional Skills**
* Experience using Python for data analysis, automation, or pipeline development is a plus.
* Experience with embedded analytics or customer-facing data products is a plus.
* Familiarity with AI-powered analytics, AI development tools, or MCP integrations is a plus.
* Experience in aviation, transportation, logistics, or another operationally complex industry is a plus.