Analytics Engineer

Dashlane·Parismid

En corto

→Ingeniero de análisis que construye modelos de datos robustos y escalables para impulsar decisiones estratégicas.
→Trabaja en la transformación de datos históricos en una fuente única de verdad con dbt y modelos AI-ready.
→Destacan las responsabilidades de producto de datos y el impacto directo en el crecimiento del negocio B2B/B2C.

English as your working language

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Experiencia en diseño y construcción de modelos de datos end-to-end
✓Conocimiento sólido de dbt y su uso en entornos de datos modernos
✓Capacidad para refactorizar datos históricos y desordenados
✓Habilidades de comunicación para actuar como partner estratégico a equipos de producto y GTM
✓Autonomía y enfoque en resultados concretos
✓Enfoque en tratar los datos como un producto

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

dbtSnowflakeAirbyteSegmentLookerGitHubJiraPostgreSQLPythonBigQuery

¿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 an Analytics Engineer to join our collaborative and impact-driven Data & Analytics team. You will act as a 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 reactive "support desk"

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