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Vacantes / Dashlane

Senior Analytics Engineer

Dashlane·Parissenior

En corto

  • →Ingeniero analítico sénior que construye modelos de datos robustos y listos para IA en un ecosistema de datos unificado.
  • →Trabaja directamente con equipos de producto y comercial para transformar datos en decisiones estratégicas y acciones concretas.
  • →Destacado: es un rol clave para convertir al equipo de datos de reacción en una fuerza estratégica con impacto directo en el negocio.

English as your working language

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¿Qué piden?

  • ✓Experiencia sólida en modelado de datos y construcción de pipelines
  • ✓Capacidad para liderar y mentorizar técnicos
  • ✓Domina dbt y arquitectura de datos moderna
  • ✓Experto en integrar y limpiar datos a partir de fuentes complejas (como Salesforce)
  • ✓Capacidad para traducir necesidades de negocio en soluciones de datos
  • ✓Experiencia trabajando en entornos B2B/B2C SaaS

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

dbtSnowflakeAirflowGitHubGitLabPostgreSQLLookerSalesforceGoogle Cloud PlatformKafka

¿A quién escribirle en Dashlane?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Dashlane Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally. We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane , including how we work , how we hire , and the benefits of being a Dashlaner . About the role: At Dashlane, we believe that data is an engine of growth and the voice of our customer. We are looking for a Senior Analytics Engineer to join our collaborative and impact-driven Data & Analytics team. You will act as a senior strategic partner to the business, bridging the gap between deep technical modeling and business strategy to power how Dashlane makes decisions. You will be a key driver in transforming our team from a reactive support function into a proactive, strategic powerhouse. Your work will directly shape how Dashlane measures success, from building out robust, AI-ready data foundations to delivering actionable insights that directly impact our bottom line. You will tackle complex data architecture problems, empower the organisation through self-service, and act as a force multiplier by mentoring peers and upskilling stakeholders. If you are passionate about treating data as a product, succeed in autonomy, and want to have a massive, visible impact on a thriving B2B/B2C SaaS business, this role is for you. Location-Specific Information: You will be based in Paris, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work. At Dashlane, you will: • Build & own complex data models: Design, build, test, and own end-to-end data models within our dbt-powered “Unified Data Model”. You will untangle historically messy datasets (like Salesforce) and refactor them into clean, intuitive models that serve as a single source of truth. • Drive proactive business impact: Act as a consultative partner to our Product + Go-to-Market and business teams. Move beyond re

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