Analytics Engineer

Dashlane; Deutschland; Hybrid; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

Dashlane, a leading SaaS security company, seeks an Analytics Engineer to join the Data & Analytics team in a strategic capacity. You will bridge deep data modeling with business strategy, shaping how Dashlane measures success and informs decisions.

The role emphasizes AI-ready data foundations and proactive insights across product and GTM. You will work in a hybrid setup based in Lisbon, collaborating with cross-functional teams to enable self-service analytics and governance, while mentoring

Qualifikationen

• 3+ years in an Analytics Engineering or equivalent role.
• Expert in SQL and dbt, with hands-on data modeling experience in production.
• Strong business acumen for B2B SaaS metrics (ARR, NRR, churn).
• Excellent stakeholder management with proactive ownership of initiatives.

Aufgaben

• Build and own complex data models within a unified data model.
• Deliver proactive, data-driven insights that drive product and GTM outcomes.
• Drive self-service analytics culture and upskill stakeholders across teams.
• Champion AI data agents and automation for reporting and alerting.
• Mentor junior engineers and help raise the team's technical bar.

Kenntnisse

SQL

dbt

Tools

dbt

Jobbeschreibung

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 Lisbon, 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" requests to uncover underlying business problems and deliver proactive, data-driven insights that drive measurable outcomes (shifting the conversation from "what happened" to "what's next").
• Champion self-service & upskill stakeholders: Be a primary driver of our self-service analytics culture. You will guide stakeholders toward scalable, self-serve solutions in Omni, gently pushing back on ad-hoc dashboard requests to upskill the organisation and scale autonomy.
• Pioneer AI data agents & automation: Implement AI data agents and the necessary underlying foundations to automate reporting and alerting for key business metrics, bringing an AI-first mindset to maximise the team's efficiency.
• Elevate data governance & the team: Implement and maintain data quality tests and governance best practices to ensure trust in our data. As a senior technical contributor, you will mentor more junior engineers, proactively improve team processes, and help raise the technical bar.

Requirements:

• You have 3+ years of experience in an Analytics Engineering position or equivalent role.
• You are an expert in SQL and dbt, with deep, hands-on experience designing, deploying, and maintaining complex data models in a production environment.
• You have strong strategic business acumen and a deep understanding of the B2B SaaS engine. You speak the language of ARR, NRR, churn, and product-led growth.
• You possess highly consultative stakeholder management skills. You don't just take tickets; you uncover the true business need, drive alignment, and take proactive ownership of initiatives from end to end.
• You are an "AI Champion." You are fluent with AI coding platforms such as Claude Code and you already have demonstrated experience integrating modern GenAI tooling into your day-to-day analytics workflow to accelerate development, and you are eager to mentor the rest of the organisation on these tools.
• You thrive in an autonomous, high-exposure environment and have a relentless curiosity to untangle complex data puzzles.
• You are fluent in English: verbal and written.

Our Tech Stack:

• Data …