Analytics Engineer

pofft Technology Inc.; Lisboa; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Dashlane is seeking an Analytics Engineer to join our Data & Analytics team in Lisbon. You will bridge deep technical modeling with business strategy, shaping how we measure success and drive actions across the company.

You will lead end-to-end data modeling, empower self-service analytics, and mentor peers while implementing AI data agents to automate reporting. This role emphasizes proactive impact and data as a product mindset.

Qualifications

• 3+ years in Analytics Engineering or similar role.
• Strong SQL and dbt experience with production data models.
• Business acumen and ability to translate data into strategy.

Responsibilities

• Design, build, test and own end-to-end data models.
• Deliver proactive, data-driven insights to business teams.
• Champion self-service analytics across the organization.
• Develop AI data agents and automation for reporting.
• Mentor junior engineers and raise technical standards.

Skills

Mentoring

Strategic thinking

Business acumen

Tools

SQL

dbt

Job description

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 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 (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 maximize 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.
• ...