Data Analyst Engineer

Project overview

Mission Context

Within the data department of a large group, the team supports business departments (merchandise, commerce, network) in steering their activities through data. It builds and maintains the data models and dashboards used for operational decision-making.

The environment is 100% Google Cloud: data is centralized in BigQuery, transformed with dbt, and delivered in Looker and Tableau. The team is strengthening its workforce with a senior Analytics Engineer profile capable of bridging the gap between business needs and model industrialization.

Main Missions

Technical Stack

Essential:

Appreciated:

Profile Sought

• Gather and frame analytical needs with business and product teams, then translate them into specifications for models and indicators.
• Design, develop, and maintain transformation models in dbt on BigQuery (staging, intermediate, marts), following best modeling practices.
• Optimize BigQuery performance and costs (partitioning, clustering, incremental materializations).
• Develop and evolve the Looker semantic layer (LookML: views, explores, measures) and associated dashboards.
• Design and maintain Tableau dashboards for business departments.
• Ensure data quality and reliability: dbt tests, documentation, monitoring, access management (row-level security).
• Contribute to governance: shared indicator definitions, data catalog, and dictionary.
• Participate in the team's agile rituals and support users in tool adoption.
• GCP, BigQuery
• dbt
• Advanced SQL
• Looker (LookML)
• Tableau
• Python
• Airflow / Cloud Composer
• Git, GitLab or GitHub, CI/CD
• Agile (Scrum), Jira
• Master's degree (Bac+5) in data, IT, statistics, or business school with a specialization in data analytics.
• Minimum 5 years of experience in Analytics Engineering, BI, or Data Analytics, including at least 2 significant missions on GCP / BigQuery and dbt.
• Proven experience in LookML modeling and designing production Tableau dashboards.
• Experience in retail, consumer goods, luxury, or e-commerce strongly appreciated.
• Ease in communicating with business departments: ability to challenge needs and simplify complex concepts.
• Rigor regarding data quality, autonomy, and a delivery-oriented mindset.

Project details

• Start: flexible
• Remote: hybrid
• Location: 92340 Bourg-la-Reine, France, FR
• Languages: French