Analytics Engineer

Join Rogo, a frontier AI company, as an Analytics Engineer. In this domain-agnostic role, you will work across the entire data ecosystem, building pipelines, models, and dashboards that turn raw data into decisions. You will have a deep understanding of Rogo's business and will be a trusted data partner across the company. The ideal candidate will have 4-8 years of experience in analytics or data engineering, deep SQL proficiency, and a full-stack mindset.

• Construire, maintenir et étendre des pipelines de données et des modèles dbt qui transforment les données brutes en ensembles de données propres et fiables utilisés dans toute l'entreprise.
• Posséder la couche de reporting dans les principaux domaines d'activité, en construisant des outils internes et des tableaux de bord pour donner à nos équipes la visibilité dont elles ont besoin pour prendre des décisions.
• Développer une connaissance approfondie du modèle de données de Rogo et devenir une ressource de référence pour les parties prenantes qui ont besoin de comprendre ce que les données disent et ce qu'elles signifient.
• Business instinct — you understand that data work exists to drive decisions, and you connect your output to outcomes, not just deliverables
• Comfort operating across multiple stakeholders and domains without a lot of hand-holding
• Hands-on dbt experience: models, tests, macros, and a sense for what makes a well-structured transformation layer
• 4–8 years of experience in analytics, data engineering, or a closely related role
• Deep SQL proficiency — you write and optimize complex queries fluently and know your way around a modern cloud data warehouse (Snowflake preferred)
• Experience building dashboards and reports that non-technical stakeholders actually find useful (Sigma, Looker, Hex, or similar)
• A full-stack mindset — you don’t hand off problems at the edge of your job description; you follow them through
• Experience with third-party financial or B2B data vendors (LSEG, FactSet, Crunchbase, ZoomInfo, Apollo, or similar)
• Familiarity with Salesforce data models and GTM data pipelines
• Background in financial services, enterprise SaaS, or vertical AI
• Python proficiency for data transformation or analytical work
• Experience building analytics at an early-stage startup
• You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup
• You are ambitious. You have fun solving problems that others think are impossible
• You are collaborative, organized, thoughtful, and kind
• You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity
• You are curious. You find joy in learning about AI, technology, and finance