Lead BI & Analytics

Join Karos, a leading carpooling platform, as the Lead BI & Analytics. In this role, you will drive a culture shift towards analytics, define and run the BI operating model, and turn data into business insights. You will also own the analytics layer from source data to dashboards, drive buy-in from the organization, and manage a BI Analyst. This position reports to the Chief Transformation & Performance Officer and requires strong cross-team collaboration.

• Définir et exécuter le modèle opérationnel BI, posséder la pile BI et les définitions de données, et transformer les données en informations commerciales.
• Transformer les données en informations clients et construire une offre qui pourrait être vendue aux clients.
• Posséder la couche d'analyse, y compris la modélisation des données, les pipelines de transformation, les définitions sémantiques, la gouvernance des rapports.

### Must-have

• High autonomy, minimum 7 years of experience
• **Strong business & strategic acumen**: ability to engage with senior stakeholders (ExCom-level) and business teams (non technical teams), understand the underlying business challenges, and translate them into the right KPIs, dashboards, and analytical frameworks.
• Experience building BI governance: metric catalog, ownership model, data definitions, documentation standards.
• **Hybrid business–data profile**: able to structure high-impact analyses and also be technical enough to support BI analyst in execution (BigQuery), collaborate with engineering teams and own BI tools and practices.
• Proven experience delivering (and maintaining) dashboards with strong attention to data quality, consistency, and usability.
• Hands-on experience with modern BI data stacks (BigQuery, dbt, ETL/ELT pipelines, data modeling, data warehousing concepts) and ability to define reporting architecture, not only consume data.
• Hands-on experience with **Metabase** (or similar BI tools), and a track record of training non-technical users.

### Nice-to-have

• Experience in SaaS, B2B, or data-driven service environments, with both internal and client-facing analytics.