Analytics Engineer

Dashlane; Paris (KY); Hybrid; USD 81,000 - 128,000; Full time

Benefits offered by this job

Equal parental leave

Health insurance

Mentorship program

Commute allowance

Meal vouchers

Mental health support

Extra days off

Daycare spot

Donation matching

Team events

Job summary

Dashlane is seeking an Analytics Engineer to join our Data & Analytics team in Paris. You will bridge deep technical modeling with business strategy to power decisions, building AI-ready data foundations and delivering actionable insights that impact our bottom line.

You will lead self-service analytics, mentor peers, and shape data governance while advancing our Unified Data Model and production data pipelines in a fast-growing SaaS environment.

Qualifications

• 3+ years of Analytics Engineering or equivalent experience.
• Expert in SQL and dbt; design and maintain production data models.
• Strong business acumen in B2B SaaS; understands ARR, NRR, churn and product-led growth.
• Highly consultative stakeholder management; take ownership end-to-end.
• AI champion with experience integrating GenAI tooling into analytics workflows.

Responsibilities

• Build & own complex data models in our dbt-based Unified Data Model.
• Deliver proactive, data-driven insights to Product, GTM, and business teams.

Skills

SQL

dbt

Stakeholder management

AI tooling

Tools

AWS

Redshift

Airflow

GitLab

Omni

Job description

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 Paris, 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

What Dashlane offers you:

• 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
• Health insurance is covered by Dashlane
• Mentorship program - select your mentor from our internal pool and continue your learning path!
• Commute allowance
• Meal Vouchers (Swile)
• Mental health services through Spring Health for you and your family members
• 4 extra days off (one per quarter) to acknowledge the importance of your wellbeing
• Spot in daycare
• Time off saving account
• 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
• Team buildings & seasonal social events
• Weekly lunch in the office and monthly happy hour
• and many 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.