Financial Analytics Engineer - 18 months

KEY REPONSABILITIES

• Build and maintain the Finance transformation layer in dbt/BigQuery to support migrated reporting use cases.
• Implement robust and scalable transformations aligned with agreed KPI definitions and Finance reporting needs.
• Develop and maintain Looker semantic models (LookML): views, models, joins, dimensions/measures.
• Create and optimize Explores to enable consistent self‑service analysis and provide reusable foundations for dashboards.
• Translate existing Power BI logic into governed Looker/BigQuery equivalents (metrics, filters, drill paths).
• Execute the migration through structured waves, ensuring delivery tracking and alignment with the decommissioning roadmap.
• Ensure smooth handover: documentation, runbooks, and knowledge transfer to internal teams.
• Apply agreed development standards (naming conventions, documentation and testing approach) across dbt and Looker assets.
• Ensure data quality controls and long‑term maintainability of the delivered models.
• Maintain clear documentation of datasets, models and Explores to support ownership and auditability.

your profile

• You have a strong hands‑on experience in analytics engineering / BI engineering, ideally in a Finance context.
• You prossesss have proven expertise in in dbt and SQL, with experience on BigQuery.
• You possess a proven experience developing on Looker with LookML.
• You have experience migrating reporting stacks (e.g., Power BI → Looker or similar) is a strong asset.
• You are delivery‑driven, structured, and reliable, able to execute in a time‑critical transformation context.
• You have strong attention to data quality, consistency, and documentation.
• You are a clear communicator, able to work with Finance stakeholders to translate reporting needs into robust models.
• You are fluent in English, French is a plus.