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Dashlane, a credential security platform trusted by millions of consumers and 25,000+ brands worldwide, is seeking an Analytics Engineer to join its Data & Analytics team in Paris. The role is hybrid-based (in-office Mondays, Tuesdays, Thursdays; flexible Wednesdays, Fridays) with English as the working language.
You will act as a strategic partner bridging technical data modeling and business strategy, transforming the team from reactive support into a proactive, strategic function. Key responsibilities include:
• Build and own complex data models: Design, build, test, and maintain end-to-end data models within the dbt-powered Unified Data Model. Untangle historically messy datasets (e.g., Salesforce) into clean, intuitive single sources of truth.
• Drive proactive business impact: Partner consultatively with Product, Go-to-Market, and business teams. Move beyond reactive requests to uncover underlying problems and deliver data-driven insights that shift conversations from "what happened" to "what's next."
• Champion self-service analytics: Be a primary driver of self-serve analytics culture. Guide stakeholders toward scalable solutions in Omni, upskill the organization, and scale autonomy by gently pushing back on ad-hoc requests.
• Pioneer AI data agents and automation: Implement AI data agents and underlying foundations to automate reporting and alerting for key business metrics, bringing an AI-first mindset to maximize team efficiency.
• Elevate data governance and team: Implement data quality tests and governance best practices. As a senior technical contributor, mentor junior engineers, improve team processes, and raise the technical bar.
The ideal candidate has 3+ years of Analytics Engineering experience and thrives in autonomy, treating data as a product and seeking visible impact on a thriving B2B/B2C SaaS business.
