Analytics Engineer

Dashlane; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flex Benefits

Health insurance

5 extra vacation days

Quarterly well-being days

Equal parental leave

Donation matching program

Mental health services access

Team building events

Resumo da oferta

Dashlane is seeking an Analytics Engineer in Lisbon to drive data strategy and empower the organization with insightful analytics. You will transform data architecture and proactively shape key business decisions while fostering a self-service analytics culture.

The ideal candidate has over 3 years of experience, strong SQL and dbt expertise, and thrives in an autonomous environment. Join a diverse, innovative team at Dashlane as we continue to grow and make a positive impact in the B2B SaaS space.

Qualificações

• 3+ years of experience in an Analytics Engineering position or equivalent role.
• Deep hands-on experience designing and maintaining complex data models.
• Strong strategic business acumen in B2B SaaS.

Responsabilidades

• Design and own end-to-end data models within the Unified Data Model.
• Act as a consultative partner to drive proactive business impact.
• Champion self-service analytics culture and upskill stakeholders.

Conhecimentos

SQL

dbt

Data Modeling

AI Coding Platforms

Stakeholder Management

Problem Solving

Formação académica

Bachelor's degree in a relevant field

Ferramentas

AWS (Redshift, S3, Lambda, Kinesis, Glue)

Airflow

Python

Descrição da oferta de emprego

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. We 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.

• 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.
• Champion self‑service & upskill stakeholders: Be a primary driver of our self‑service analytics culture. 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

• 3+ years of experience in an Analytics Engineering position or equivalent role.
• Expertise in SQL and dbt, with deep, hands‑on experience designing, deploying, and maintaining complex data models in a production environment.
• Strong strategic business acumen and a deep understanding of the B2B SaaS engine. Knowledge of ARR, NRR, churn, and product‑led growth.
• Highly consultative stakeholder management skills. Ability to uncover true business needs, drive alignment, and take proactive ownership of initiatives end‑to‑end.
• AI champion: fluent with AI coding platforms such as Claude Code, and experience integrating modern GenAI tooling into analytics workflows.
• Thrives in an autonomous, high‑exposure environment with relentless curiosity to untangle complex data puzzles.
• Fluent in English: verbal and written.
• Data Modeling & Transformation: dbt.
• Programming Languages: SQL, Python.
• Data Platform: AWS (Redshift, S3, Lambda, Kinesis, Glue).
• Orchestration: Airflow.

What Dashlane offers you

• 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 to 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 on 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.