Senior Analytics Engineer: AI-Driven Data & Growth Partner

Dashlane; Lisboa; Híbrido; EUR 65 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

5 extra vacation days

Company well-being days

Equal Parental leave

Team building & social events

Flexible work schedule

Resumo da oferta

Dashlane is seeking a Senior Analytics Engineer in Lisbon to join our Data & Analytics team. You will bridge advanced modeling with business strategy, transforming data into strategic insights that push ARR, churn and product-led growth. The role emphasizes self-service analytics, AI-enabled automation, and mentoring peers.

You’ll work in a hybrid Lisbon setup with English as the working language, collaborating across Product and Go-to-Market teams to maximize data-driven decision making.

Qualificações

• 5+ years in Analytics Engineering or equivalent.
• Expert in SQL and dbt with production data modeling experience.
• Strong business acumen in B2B SaaS metrics (ARR, NRR, churn).
• Consultative stakeholder management with end-to-end ownership.
• AI tooling experience and ability to mentor others.
• Fluent English, both written and spoken.

Responsabilidades

• Build and own end-to-end data models within the Unified Data Model.
• Deliver proactive, data-driven insights to Product, GTM and business teams.
• Champion self-service analytics and upskill stakeholders.
• Pioneer AI data agents and automation for reporting and alerts.
• Elevate data governance and mentor junior engineers.

Conhecimentos

SQL

dbt

Python

AWS

Airflow

Ferramentas

AWS Redshift

S3

Lambda

Kinesis

Glue

Descrição da oferta de emprego

Dashlane is seeking a Senior Analytics Engineer in Lisbon to join our Data & Analytics team. You will bridge advanced modeling with business strategy, transforming data into strategic insights that push ARR, churn and product-led growth. The role emphasizes self-service analytics, AI-enabled automation, and mentoring peers.

You’ll work in a hybrid Lisbon setup with English as the working language, collaborating across Product and Go-to-Market teams to maximize data-driven decision making.