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 Modeling & Transformation: dbt
- Programming Languages: SQL, Python
- Data Platform: AWS (Redshift, S3, Lambda, Kinesis, Glue)
- BI & Visualisation: Omni
- Orchestration: Airflow
- CI/CD & Version Control: GitLab
- AI: Claude Code