Senior Analytics Engineer: AI-Driven Data Leader

Dashlane Inc.; Paris; Hybrid; EUR 85,000 - 120,000; Full time

Benefits offered by this job

Equal Parental leave

Health insurance

Mentorship program

Commute allowance

Meal Vouchers

Mental health services

4 extra days off

Spot in daycare

Time off saving account

Donation matching program

Team buildings

Weekly lunch in office

Monthly happy hour

Job summary

Dashlane is seeking a Senior Analytics Engineer to join the Data & Analytics team in Paris. You will bridge deep technical modeling with business strategy to empower decision-making and build AI-ready data foundations.

This role emphasizes proactive insights, self-service analytics, data governance, and mentoring peers, with a hybrid Paris office schedule and English as working language.

Qualifications

• 5+ years in an Analytics Engineering role or equivalent.
• Expert in SQL and dbt with production data modeling experience.
• Strong strategic business acumen for a B2B SaaS engine.
• Consultative stakeholder management with end-to-end ownership.
• AI champion with experience integrating GenAI tooling.
• Autonomous, high-exposure environment with curiosity.
• Fluent in English, both written and spoken.

Responsibilities

• Build & own complex data models within the Unified Data Model.
• Drive proactive, data-driven insights aligning with product and GTM teams.
• Champion self-service analytics and upskilling of stakeholders.
• Pioneer AI data agents and automation for reporting and alerts.
• Elevate data governance and mentor junior engineers to raise the technical bar.

Skills

SQL

dbt

Analytics engineering

Stakeholder management

AI tooling / GenAI

Business acumen (B2B SaaS)

English communication

Tools

AWS

Redshift

S3

Lambda

Kinesis

Airflow

GitLab

Claude Code

Job description

Dashlane is seeking a Senior Analytics Engineer to join the Data & Analytics team in Paris. You will bridge deep technical modeling with business strategy to empower decision-making and build AI-ready data foundations.

This role emphasizes proactive insights, self-service analytics, data governance, and mentoring peers, with a hybrid Paris office schedule and English as working language.