21 час назад
Senior Analytics Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (AI) (dbt/SQL): Building and owning complex production data models and AI-ready foundations for a B2B/B2C SaaS business with an accent on data quality, self-service analytics, and proactive business insight. Focus on integrating AI data agents and automation, untangling complex datasets, designing scalable governance practices, and mentoring analytics stakeholders and engineers.
Location: Lisbon, Portugal; hybrid schedule with office attendance on Mondays, Tuesdays, and Thursdays. Wednesdays and Fridays offer more flexibility for focused work. English is the working language.
Company
provides credential security and password management products to consumers and businesses worldwide.
What you will do
- Design, build, test, and own complex end-to-end data models in the dbt-powered Unified Data Model.
- Refactor historically messy datasets, including Salesforce data, into clean models serving as a single source of truth.
- Partner with Product, Go-to-Market, and business teams to uncover problems and deliver actionable, data-driven insights.
- Build a self-service analytics culture by guiding stakeholders toward scalable solutions in Omni.
- Implement AI data agents and foundations for automated reporting and alerting on key business metrics.
- Maintain data quality and governance practices, mentor junior engineers, and improve team processes.
Requirements
- 5+ years of experience in Analytics Engineering or an equivalent role.
- Expert-level SQL and dbt experience designing, deploying, and maintaining complex production data models.
- Strong business acumen and understanding of B2B SaaS metrics, including ARR, NRR, churn, and product-led growth.
- Highly consultative stakeholder management skills with proactive ownership of initiatives from discovery through delivery.
- Hands-on experience integrating modern GenAI tools, including Claude Code, into analytics workflows.
- Fluent English, both verbal and written, is required.
Culture & Benefits
- Hybrid work model combining office collaboration with flexible focused-work days.
- Flex Benefits with a monthly allocation for a benefits pool.
- Health insurance covered by and access to mental health services for employees and families.
- Five additional vacation days annually, birthday leave, quarterly well-being days, and up to 20 weeks of fully paid parental leave.
- Work schedule exemption, donation matching, team lunches, and social events.
Hiring process
- Review the interview and hiring process information before applying.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →