- Professional
- Ufficio in Lisbon
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 the engine of our growth and the voice of our customer. We are looking for an Analytics Engineer to join our Data & Analytics team. You will be a key partner to the business, helping to power how Dashlane makes decisions.
You will be a core contributor on the team, responsible for translating business needs into reliable and scalable data solutions. Your work will directly support how Dashlane measures success and makes critical decisions, from financial reporting to product-led growth experiments. You will help build the trusted data products and self-service tools that empower the entire organisation. If you are passionate about building with data and want to have a measurable impact on a thriving B2B/B2C SaaS business, this role is for you.
Location:
You will be based in Lisbon, with English as your working language. We offer a hybrid work arrangement, with Tuesday as the company day where we collaborate in the office and enjoy a company-sponsored meal, a department day for team bonding, and a third day of your choice. We offer relocation support (national and international) for individuals who are already legally eligible to work in the European Union.
At Dashlane, you will:
Build & own Data models: Design, build, test, and own key data models within our dbt-powered UDM that serve as the single source of truth for business domains like Finance, Product, and Go-to-Market.
Partner with stakeholders: Work closely with teams across the business to understand their challenges. Translate their questions into technical requirements and deliver analytics solutions (datasets, dashboards, analysis) that provide clear, actionable insights.
Contribute to self-service: Be a key contributor to our self-service analytics culture by building the trusted, well-documented datasets that our stakeholders use for their own analysis.
Collaborate and grow: Actively participate in code reviews, share knowledge with your peers, and partner with senior Analytics Engineers to solve complex problems, continuously improving the quality and efficiency of our team's work.
Uphold Data Governance & quality: Implement and maintain data quality tests, documentation, and governance best practices in your work to ensure our data is always accurate, reliable, and trusted.
Leverage AI to accelerate impact: Proactively use modern GenAI tooling to improve your development velocity, enhance documentation, and accelerate the path from raw data to business insight.
Requirements:
You have 3 years of experience in an Analytics Engineering position or equivalent role.
You have strong proficiency in SQL and hands-on experience with dbt, including building, testing, and maintaining data models in a production environment.
You have a solid analytics mindset and business sense, with experience translating business requirements into technical solutions that are scalable and easy to understand.
You thrive in a self-service analytics environment and are passionate about building data assets that empower others.
You are a clear communicator who can work effectively with stakeholders and teammates to deliver projects.
You have a growth mindset and experience in a B2B SaaS environment. You understand concepts like ARR, NRR, and churn.
You have experience using GenAI tools in your analytics workflow, or a strong desire to learn and apply them.
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: Tableau (and soon, a new modern BI/Semantic Layer tool)
- Orchestration: Airflow
- CI/CD & Version Control: GitLab
- Flex Benefits - monthly amount to be allocated to a pool of benefits of your choice
- Health insurance covered by Dashlane
- Extended time off and well-being days - add 5 days to you vacation quota, plus your birthday day off, and 4 extra days (one per quarter) to acknowledge the importance of your wellbeing
- Equal Parental leave - regardless of gender, up to 20 weeks fully paid leave to take care of their new baby, within the first year of birth or adoption
- Mentorship program - select your mentor from our internal pool and continue your learning path!
- Flexible working hours - depending on the role, determine a schedule that fits your need, in alignment with your manager
- Donation matching program - give back to the community and support actions that lead to positive social impact under the historically marginalized communities. Every donation will be matched by Dashlane.
- Mental health services through Spring Health for you and for you and family members
- Team buildings & seasonal social events
- Weekly lunch in the office and monthly happy hour
- and much more
Diversity, Equity, Inclusion and Belonging at Dashlane:
As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here.
Your interview experience:
To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.
