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 a 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
- Flex Benefits - allocate a monthly amount to a pool of benefits
- Health insurance covered by Dashlane
- 5 extra vacation days each year, plus your birthday off
- Company wide well-being days (one per quarter)
- Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption
- Work schedule exemption - plan your work schedule in alignment with your manager
- Donation matching program - Dashlane will match your donations to organizations driving positive impact in historically marginalized communities
- Access mental health services through Spring Health, available for you and your family members
- Team building & 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.
Skills Required
- 3+ years of experience in an Analytics Engineering role or equivalent
- Expert-level SQL and dbt with hands-on experience designing, deploying, and maintaining complex production data models
- Strong strategic business acumen and deep understanding of B2B SaaS metrics (ARR, NRR, churn, product-led growth)
- Highly consultative stakeholder management skills; ability to uncover business needs and own initiatives end-to-end
- Demonstrated experience integrating GenAI tooling (e.g., Claude Code) into analytics workflows
- Fluency in English, verbal and written
- Proficiency in Python for analytics/engineering tasks
- Experience with AWS data platform components (Redshift, S3, Lambda, Kinesis, Glue)
- Familiarity with BI/visualization tool Omni
- Experience with orchestration (Airflow) and CI/CD/version control (GitLab)
- Ability to thrive autonomously in a high-exposure environment and mentor junior engineers
What We Do
Dashlane is a web and mobile app that simplifies password management for people and businesses. We empower organizations to protect company and employee data, while helping everyone easily log in to the accounts they need—anytime, anywhere. A better digital future starts with secure access.
Why Work With Us
Our team in Paris, New York, and Lisbon is united by a strong sense of community and passion for improving the digital experience. Over 15 million users and 20,000 businesses in 180 countries use Dashlane for a faster, simpler, and more secure internet.
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